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    Hybrid model for preserving brightness over the digital image processing

    Ahirwar, V. ; Yadav, H. ; Jain, A.
    Computer and Communication Technology (ICCCT), 2013 4th International Conference on

    DOI: 10.1109/ICCCT.2013.6749602
    Publication Year: 2013 , Page(s): 48 - 53

    IEEE Conference Publications

    Digital image processing is versatile research in this era. Many researchers implement different types of organizations like image restoration, image enhancement, color image processing, image segmentation etc. Image enhancement technique is among the simplest and most appealing area of digital image processing. Enhancement techniques like brightness preservation, contrast enhancement highlight certain features means depend which part of the image want to be enhance some application some input image including noise, reduction or removal of noise is also form of image enhancement. Brightness preservation has enhanced visual quality of digital image so that the limitation contained in these images is used for various applications in a better way. A very popular technique for image enhancement is histogram equalization (HE) and curvelet transformation. HE technique is commonly employed for image enhancement because of its simplicity and comparatively better performance on almost all types of images. Another widely used technique is curvelet transformation. This technique is identified and separate bright regions of image but more error rate and low peak signal to noise ratio(PSNR), result of this technique is brightness preservation level is low and output image is gray. This paper design a hybrid model through discrete cosine transformation, discrete wavelet transformation and combine output of both techniques with image fusion. Proposed algorithm enhanced features and removal noise by decomposition of image using DWT and discrete cosine transformation, adaptive histogram equalization is very important part in this algorithm for smooth image. The tested results of different images are comparing with previous method, generating result with different parameters; less mean square error and high PSNR for improve the quality of an image. This paper presents a hybrid model used various parameter for enhance images like satellite images, medical images etc. View full abstract»

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    Pulse-domain digital image processing for vision chips employing low-voltage operation in deep-submicrometer technologies

    Kagawa, K. ; Yasuoka, K. ; Ng, D.C. ; Furumiya, T. ; Tokuda, T. ; Ohta, J. ; Nunoshita, M.
    Selected Topics in Quantum Electronics, IEEE Journal of

    Volume: 10 , Issue: 4
    DOI: 10.1109/JSTQE.2004.833888
    Publication Year: 2004 , Page(s): 816 - 828
    Cited by:  Papers (15)

    IEEE Journals & Magazines

    A new architecture for pixel-level parallel image processing in the pulse domain for CMOS vision chips has been developed. Image processing such as edge enhancement, edge detection, and blurring are realized based on suppression and promotion of digital pulses; the pixel value is represented by the frequency of digital pulses by use of a pulse-frequency modulation (PFM) photosensor or that with an in-pixel 1-bit analog-to-digital converter. The proposed architecture is suitable for low-voltage operation in deep-submicrometer technologies because the image processing is implemented by 1-bit fully digital circuits with a small number of logic gates. The principles of the image processing are addressed. We have fabricated a 16 × 16-pixel prototype vision chip. The relationship between illumination and the output pulse frequency is characterized. Step responses of the prototype vision chip for fundamental image processing operations show good agreement with those expected by correlation-based spatial filtering. A simple image binarization method specific to our architecture is also presented. The histograms of the intervals of the output pulses after image processing show multiple peaks, which indicates that averaging of the intervals is required for longer periods to achieve higher image-processing quality. To improve the linearity of pulse frequency dependence on illumination, usage of random clocks is discussed. View full abstract»

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    An E-learning interactive course for teaching digital image processing at the undergraduate level in engineering

    Al-Ghaib, H. ; Adhami, R.
    Interactive Collaborative Learning (ICL), 2012 15th International Conference on

    DOI: 10.1109/ICL.2012.6402146
    Publication Year: 2012 , Page(s): 1 - 5
    Cited by:  Papers (1)

    IEEE Conference Publications

    Digital image processing has many applications in different fields such as medicine, forensic, robotics, industrial automatic inspection systems, navigation, ..., etc. This field has attracted attentions of researchers and scholars to develop and/or to improve algorithms for different applications. Traditionally, the subject of digital image processing has been taught at the graduate level. A challenging question is can we make use of the available computational tools and advanced technology to teach the fundamentals of digital image processing at the undergraduate levels. Introducing students to the field of image processing at the undergraduate level will enable them to perform research at their early stage of college education and hence opening new application for digital image processing. In this paper, a proposal for a modular approach to teach digital image processing at the undergraduate level is presented. This course is an E-learning class and students can complete it at their own pace. View full abstract»

  • Freely Available from IEEE

    Digital Image Processing and Analysis: Human and Computer Applications with CVIPtools, 2nd Edition (Umbaugh, S.; 2011) [Book Reviews]

    King, P.H.
    Pulse, IEEE

    Volume: 3 , Issue: 4
    DOI: 10.1109/MPUL.2012.2196843
    Publication Year: 2012 , Page(s): 84 - 85

    IEEE Journals & Magazines

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    Digital image processing-an object-oriented approach

    Roman, D. ; Fisher, M. ; Cubillo, J.
    Education, IEEE Transactions on

    Volume: 41 , Issue: 4
    DOI: 10.1109/13.728270
    Publication Year: 1998 , Page(s): 331 - 333
    Cited by:  Papers (3)

    IEEE Journals & Magazines

    This paper presents a class library dedicated to digital image processing which provides resources for essential digital image processing operations. Besides its practical value, the class library is used to teach both object-oriented software engineering methodology and digital image processing. The resulting module can be accessed from independent specialized applications through its public interface while its implementation details are perfectly encapsulated. First of all it is used as the inner part of an integrated environment designed for students and researchers in the field of digital image processing. This software component was built aiming for both portability and extendibility. It contains attributes and methods that allow for a wide range of digital image processing algorithms: point and geometric operations; filter, edge detection, segmentation and texture operations; and fast Fourier transforms, discrete cosine transforms, and wavelet and Gabor transformations. All these can be used for image enhancement, restoration, compression, analysis, and synthesis View full abstract»

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    Techniques and trends in digital image processing and computer vision

    Vajda, F.
    Mathematical Modelling and Simulation of Industrial and Economic Processes, IEE Colloquium on

    Publication Year: 1994

    IET Conference Publications

    Summary form only given. Digital Image Processing is a rapidly evolving field with growing applications in science and engineering. The presentation addresses the fundamentals of major topics of digital image processing and computer vision i.e. image processing and computer vision taxonomy, typical problems (including their models and descriptions), application areas, hierarchical levels of image processing, some sample image processing algorithms, control methods of processing (preprocessing, iconic and symbolic processing), basic methods of parallel processing (local neighborhood operations, subimage/segment parallel processing and algorithm/operational functional parallelism), application requirements in real-time systems. The typical problems in image processing and computer vision applications are also described View full abstract»

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    Based on the fourier transform and the wavelet transformation of the digital image processing

    Juxia Ma
    Computer Science and Information Processing (CSIP), 2012 International Conference on

    DOI: 10.1109/CSIP.2012.6309081
    Publication Year: 2012 , Page(s): 1232 - 1234

    IEEE Conference Publications

    Along with the development of information technology, digital signal filled with the whole world, we see the image can be converted to be computer to deal with a digital signal. Digital image processing is through computer tool, with digital image signal by a series of processing operations, and get people with the needs of the application. This paper introduces the Fourier transform and wavelet transform algorithm and its application. These include, spatial analysis, frequency domain analysis, linear transformation and digital image processing basic point operations, filtering, enhance, etc. The advantages of wavelet transform with the traditional Fourier transform supplement each other on image information processing more ideal. View full abstract»

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    An Optical-Digital Computer for Parallel Processing of Images

    Stark, H.
    Computers, IEEE Transactions on

    Volume: C-24 , Issue: 4
    DOI: 10.1109/T-C.1975.224227
    Publication Year: 1975 , Page(s): 340 - 347
    Cited by:  Papers (3)  |  Patents (3)

    IEEE Journals & Magazines

    An optical-digital computer (ODC) that enables parallel processing of images is discussed. A number of optical and analog electronic preprocessing operations are described. These include the use of the texture variance to separate objects in an image on the basis of texture, application of autocorrelation techniques to find hidden periodicities in images, masking on the basis of color, Fourier analysis, and planimetric analysis of color scenes. A particular design of an ODC is discussed. The computer consists of an optical system, an image analyzer, a bandwidth compressor and digitizer, and a digital computer. A number of applications are furnished. Emphasis is given to processing aerial and radiographic imagery. View full abstract»

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    Digital image processing applied in drugs industry for detection of broken aspirin tablets

    Oprea, S. ; Liţă, I. ; Jurianu, M. ; Vişan, D.A. ; Cioc, I.B.
    Electronics Technology, 2008. ISSE '08. 31st International Spring Seminar on

    DOI: 10.1109/ISSE.2008.5276427
    Publication Year: 2008 , Page(s): 121 - 124
    Cited by:  Papers (3)

    IEEE Conference Publications

    Interest in digital image processing methods stems from two principal areas: improvement of pictorial information for human interpretation and processing of image data for storage, transmission, and representation for autonomous machine perception. Today, there is no area of technical endeavor that is not impacted in same way by digital image processing. A major area of imaging is in automated visual inspection of manufactured goods. A typical image processing task with products like this is to inspect them for missing or wrong parts. Detecting some anomalies is a major theme of industrial inspection that includes a large area of products. The proposed paper presents an application for detection of broken aspirin tablets using image processing techniques. The application was implemented in an object oriented image processing software. The processing scheme can be adapted for other practical applications from other domains. View full abstract»

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    DEDIP: a user-friendly environment for digital image processing algorithm development

    Keddy, W.A. ; Agathoklis, P.
    Communications, Computers and Signal Processing, 1991., IEEE Pacific Rim Conference on

    DOI: 10.1109/PACRIM.1991.160844
    Publication Year: 1991 , Page(s): 733 - 736 vol.2
    Cited by:  Patents (31)

    IEEE Conference Publications

    The DEDIP (developmental environment for digital image processing) system is a simple environment for the development of digital image processing applications. It consists of two user interface levels. The low level is compiled software library of digital image processing and system management functions. The high level is a command line interpreter with a set of digital image processing and file management tools. A graphical user interface (GUI) has been developed to increase the user-friendliness of DEDIP at the high level. The GUI is based on the DEDIP functions and the X-window systems. The user has access to all levels and can develop, test, and implement in software digital image processing applications easily. Structured software design techniques of modularity and data encapsulation have been applied in the development of DEDIP View full abstract»

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    Computer vision: An in-depth look at the technique and applications of digital image processing

    Corson, M.S. ; Moss, R.H.
    Potentials, IEEE

    Volume: 5 , Issue: 4
    DOI: 10.1109/MP.1986.6500884
    Publication Year: 1986 , Page(s): 31 - 34

    IEEE Journals & Magazines

    Digital image processing involves the manipulation and analysis of images or pictures using digital computers. The field of image processing can be divided into three main areas. The first, sometimes referred to as image coding, deals with the digitization and compression of image data so as to make efficient use of memory space during storage and channel capacity during transmission. The second area is commonly referred to as pattern recognition or computer vision and is concerned with the processing of images to be used for machine analysis. The third area is concerned with the processing of pictures where the resulting image is to be used by humans or machines. The author discusses in-depth the technique and application of digital image processing. View full abstract»

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    The use of Residue Number System for improving the Digital Image Processing

    Taleshmekaeil, D.K. ; Mousavi, A.
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on

    DOI: 10.1109/ICOSP.2010.5655920
    Publication Year: 2010 , Page(s): 775 - 780
    Cited by:  Papers (5)

    IEEE Conference Publications

    In This paper, we study the application of the Residue Number System in Digital Image Processing and propose a scheme in digital image filtering of spatial and frequency domain based on the Residue Number System which leads to performance of the integration circuits with high speeds and high security and low power for Digital Image Processing. In this method the selected mask in the residue system moves on the desired image and we compute gray levels of the pixels of new images based on mask values, all computations of this method will be done in the Residue Number System. Then we design circuits of binary to residue conversion and vice versa which in is used Matlab Software and also VLSI tools for simulation. Preliminary simulation results show that the proposed scheme has the ability of digital image filtering. In the second section we introduce filtering operation and residue number system. In the third section, we offer proposed scheme and also show binary systems' conversions design to residue system (B/R) and vice versa (R/B). Here we also discuss about look-up table, security and filtering issues in frequency domain, and an example of proposed scheme. In the fourth section, we simulate and compare previous methods with this new method. Finally in the fifth section the results are presented. View full abstract»

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    Researches on Vacuum Arc Images Based on Digital Image Processing

    Dong Huajun ; Wu Yanqing ; Tan Xiaodong ; Tian Xiaojing ; Dong Enyuan ; Zou Jiyan
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on

    Volume: 2
    DOI: 10.1109/AICI.2010.174
    Publication Year: 2010 , Page(s): 247 - 250

    IEEE Conference Publications

    Image character information of vacuum switching arc images has great influence on the breaking capacities of vacuum circuit breakers (VCB), then how to extract features from the vacuum switching arc images has become an important issue in the field of vacuum arc basic theory. In this paper, an experimental setup of vacuum switching arc and an image collection system using high resolution CCD camera are designed, vacuum arc images can be collected when the arc is triggered by the triggering circuit. The distribution of temperature can be described using Gray-contour based on digital image processing with MATLAB, at the same time in course of image enhancement processing, by the means of spatial enhancement, histogram processing, color enhancement, both detail information and textural information of vacuum switching arc images can be reflected. It has been proven that using image processing techniques lots of characteristics of images of vacuum switching arc can be enhanced and embodied. View full abstract»

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    Bits planes technique for digital image processing

    Hernandez, N.R. ; Quirarte, J.L.R.
    Electrical Engineering, Computing Science and Automatic Control, 2008. CCE 2008. 5th International Conference on

    DOI: 10.1109/ICEEE.2008.4723422
    Publication Year: 2008 , Page(s): 186 - 191
    Cited by:  Papers (1)

    IEEE Conference Publications

    This work presents a technique for digital image processing. The technique consists on splitting the original image with 256 gray levels into its equivalent 8 binary images. The method is extended for true RGB color images by working out each color plane as a gray scale image and applying the same algorithm development for the former case to convert any intensity level into a byte of 8 bits. The results shown out to be useful for some basic applications such as separating the fine features of an image. Memory space for storing images is reduced since the images can be written in binary formats. Bits planes technique allows for logical operations and after that, get back to a gray scale image or color image very easily. The potential application of this technique is being studied in order to detect some anomalies in digital mammographies. A script in MatLab has been development with some menus to implement the bits planes technique for different image formats. View full abstract»

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    Application of digital image processing technology in geotechnical engineering

    Meng Cui ; Baoning Hong ; Qingjun Fang
    Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on

    DOI: 10.1109/TMEE.2011.6199701
    Publication Year: 2011 , Page(s): 2386 - 2389

    IEEE Conference Publications

    Use the digital image processing method to describe the microstructure characteristics of different geotechnical materials. Firstly, the microstructure images of different geotechnical materials were obtained by Charged Coupled Device (CCD) camera and long distance microscope. Secondly, the clear parts of the same geotechnical material image which were taken at the same point but different focus were obtained by technology of multi-resolution wavelet transform in digital image processing method and combined to get a high definition image. And then the high definition images were enhanced by histogram equalization process to highlight the contrast ratio. Finally, the images were divided according to the threshold which was automatically extracted by the maximum deviation to extract the microstructure parameters of geotechnical material. After processing images of different geotechnical materials, it shows that the digital image processing technology which is studied could well apply to describe the microstructure characteristics of different geotechnical materials. View full abstract»

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    Teaching software development of digital image processing based on VB

    Dou Zhenhai ; Wang Yajing ; Chen Wengang
    Educational and Information Technology (ICEIT), 2010 International Conference on

    Volume: 1
    DOI: 10.1109/ICEIT.2010.5607794
    Publication Year: 2010 , Page(s): V1-108 - V1-110

    IEEE Conference Publications

    In order to make the student easily understand the image processing theory and combine theory teaching with practical teaching of this technology, it is very important to develop a set of software suitable for teaching. This paper discusses image processing technique based on Visual Basic (VB) and a set of teaching software of digital image processing is developed by this technique. This software can successfully realize some image processing algorithm and has the features with easy operability, beautiful user interface and good vision. Practice demonstrates that the effect of teaching is improved by this software. The practical application ability of students is enhanced and the teaching target of combining theory with practice is achieved by this software. At the same time, learning interest of student is also increased. View full abstract»

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    Using one hot residue number system(OHRNS) for digital image processing

    Kheirandish Taleshmekaeil, D. ; Safari, A. ; Yinan Kong
    Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on

    DOI: 10.1109/AISP.2012.6313719
    Publication Year: 2012 , Page(s): 064 - 067

    IEEE Conference Publications

    In this paper, the use of the one hot residue (OHR) number system for digital image processing and its application for designing fast, high-speed and low area image processors are studied. Since digital image filtering in space domain requires many algebra computations, we're going to propose a system with high computing speed based on OHR. Using proposed system can significantly enhance the speed of the computation operations and hence the system. In the proposed image coding scheme the delay of implementation is equal to delay of a transistor which is a good improvement in compare with the conventional methods such as direct method. Other advantages of using one hot residue (OHR) number system are its simplicity of implementation and minimum power dissipation. Design of adder and multipliers commonly used for filtering with selected moduli set {2n-1+1, 2n-1, 2n} for one hot coding are presented here. MATLAB was used for simulation studies while VLSI tools have been employed for design analysis. The preliminary results show the capability of the proposed method to speed incensement of operation, decreasing of consumption power, facilitating designed hardware and finally decreasing chip production for image processing. View full abstract»

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    Knowledge based approach for automated digital image processing

    Inampudi, R.B. ; Guntupalli, S.P. ; Rao, A.A.
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International

    Volume: 3
    DOI: 10.1109/IGARSS.2002.1026109
    Publication Year: 2002 , Page(s): 1340 - 1342 vol.3
    Cited by:  Papers (1)

    IEEE Conference Publications

    Automatic interpretation of digital images is a difficult task. In this paper, we have proposed knowledge based approach for Landsat image segmentation and interpreted without any prior image dependent information. It includes an integration of image processing techniques, knowledge from domain experts and ancillary information such as previous maps of the study area. We discuss three important issues in automatic digital image interpretation are image registration, road detection and knowledge based segmentation. In this study, major land cover types are organized in a hierarchical structure. A complete knowledge based segmentation technique may consist of two stages. The first stage uses the proposed method to segment a Landsat image by spectral knowledge rules. The second stage then collects more area dependent spatial rules and the prior map information to perform a complete segmentation. Nagao and Mastuyama have developed a knowledge-based system, which performs a structural analysis of complex aerial photographs using a technique called segmentation-by-recognition. One advantage of this method is its flexibility in applying it to geo graphically different areas. This work develops techniques for automating the process of IRS LISS-III image interpretation. The experimental results show that the proposed method can be successful in segmenting complicated Landsat image. Through this study, we believe that the proposed hierarchical method is a promising approach for Landsat image segmentation. View full abstract»

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    Image processing chain for digital still cameras based on the SIMPil architecture

    Gentile, A. ; Vitabile, S. ; Verdoscia, L. ; Sorbello, F.
    Parallel Processing, 2005. ICPP 2005 Workshops. International Conference Workshops on

    DOI: 10.1109/ICPPW.2005.41
    Publication Year: 2005 , Page(s): 215 - 222
    Cited by:  Papers (3)

    IEEE Conference Publications

    The new generation of wireless devices herald the development of products for integrated portable image and video communication requiring to image and video applications high computing performance. Portable MultiMedia Supercomputers (PMMS), a new class of architectures, allow to combine high computational performance, needed by multimedia applications, and a big energy efficiency, needed by portable devices. Among PMMS, the SIMPil (SIMD processor pixel) architecture satisfies the above requirements, especially with video and digital images processing tasks. In this paper we, exploit the SIMPil computation and throughput efficiency to implement the whole image processing chain of a digital still camera device. The implemented chain covers the whole image pipeline: from the Bayer pattern image processing to the JPEG image compression. SIMPil performance has been evaluated using an instruction level simulator. To prove the effectiveness of the proposed approach, processing and compression results have been compared with the Texas Instruments Inc. TMS320C549 DSP one. View full abstract»

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    Design Considerations for Digital Image Processing Systems

    Booth, J.M. ; Schroeder, J.B.
    Computer

    Volume: 10 , Issue: 8
    DOI: 10.1109/C-M.1977.217814
    Publication Year: 1977 , Page(s): 15 - 20

    IEEE Journals & Magazines

    The brightness levels in a scene or image, together with the spatial relationships among these levels, comprise the total input and output data available to the digital image processor. Indeed, in any mathematical image processing operation, these are the elements of the image which are being manipulated and which represent the major concern of the image processing professional. However, many other factors affect image brightness relations and can distort or obscure the outcome of any image processing experiment. These factors, which consist of a long chain of transmitters, transducers, signal conditioners and processors, are in aggregate commonly called the image chain. An understanding of the image chain is essential to the design of image processing systems. View full abstract»

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    Digital output cameras enhance image processing applications

    Prabala, A.
    WESCON/'93. Conference Record,

    DOI: 10.1109/WESCON.1993.488420
    Publication Year: 1993 , Page(s): 120 - 124

    IEEE Conference Publications

    Video cameras designed for CCTV applications usually provide an analog composite video output signal. In most digital image processing applications, the analog video output from the camera is converted into a digital format by an analog-to-digital conversion process. In a conventional CCD based camera, the CCD image sensor generates a sampled analog signal which is processed to create a composite analog video output. At the input of an image processing system, the composite analog video from the camera is digitized before any image processing is performed. If the digitization is performed on the sampled analog output of the CCD, within the camera, then the two-step data conversion process is replaced by a single-step process. In addition, the one-to-one correlation between charge sites on the CCD imager and the pixels in frame memory of the image processor leads to greater precision during image processing. This has led to the development of the Cohu 4110 series of cameras incorporating an eight-bit digital video output. This paper deals with the benefits of using a digital output camera as well as some of the possible applications View full abstract»

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    Teaching reform and innovation of the course — Digital image processing experiments

    Haifeng Zhao ; Jin Tang ; Bin Luo
    Computer Science and Education (ICCSE), 2010 5th International Conference on

    DOI: 10.1109/ICCSE.2010.5593776
    Publication Year: 2010 , Page(s): 1599 - 1600
    Cited by:  Papers (2)

    IEEE Conference Publications

    Digital image processing is an interdisciplinary course, which needs students have a strong background in mathematics. To help them change from passive learning to active learning, teaching reform and innovation of the course “Digital Image Processing Experiments” is discussed in this paper. The combined platform of experiments includes TI DSP experimental box and three different kinds of programming languages. The six experimental projects cover the basic theories of digital image processing. The result can offer a significant reference for the teaching innovations in the other related specialties. View full abstract»

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    The dynamic measurement system design for Stewart platform by using digital image processing method

    Ker-Wei Yu ; Yu-Quan Zhou
    Fuzzy Systems (FUZZ), 2011 IEEE International Conference on

    DOI: 10.1109/FUZZY.2011.6007418
    Publication Year: 2011 , Page(s): 1134 - 1137

    IEEE Conference Publications

    In this study, the digital image processing method in the dynamic measurement system for Stewart platform is investigated. The measured signals of the platform based on the digital image processing method represent as the feedback signal of control system. In the study, the accuracy of control system is reasonable by capturing the image information of platform by using the digital image processing method and getting the detail of platform action directly. View full abstract»

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    IBIS: A geographic information system based on digital image processing and image raster data type

    Bryant, Nevtn A. ; Zobrist, Albert L.
    Geoscience Electronics, IEEE Transactions on

    Volume: 15 , Issue: 3
    DOI: 10.1109/TGE.1977.6498974
    Publication Year: 1977 , Page(s): 152 - 159

    IEEE Journals & Magazines

    There is a pressing need for geographic information systems which can manage spatially referenced data, which perform certain types of spatially oriented processing, and which are current and comprehensive. Polygon-overlay and grid-cell information systems access data for selected areas, but their data files are time consuming to generate and frequently costly to process. Updating land use changes for such systems may become prohibitively expensive. In response to the present dilemma, a system is presented that makes use of digital image processing techniques to interface existing geocoded data sets and information management systems with thematic maps and remotely sensed imagery. The basic premise is that geocoded data sets can be referenced to a raster scan that is equivalent to a grid-cell data set. Several technical problems have been overcome to achieve a workable system. First, digital image file handling, image manipulation, and image processing capabilities must be provided. Second, image data must be registered or indexed to spatially referenced tabular data so that processing steps which involve both types can operate. Third, a data interface must be provided between the different data types so that the results of processing can be represented. Finally, image processing analogs must be developed for existing geo-base file computational steps (e.g., overlay, aggregation, cross tabulation, etc). The system is now in use on a test basis. View full abstract»

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    Experimental Investigations on Applicable Criterion for AC Corona Discharge Evolvement of Rod-plane Gap Based on UV Digital Image Processing

    Bin Ma ; Wenjun Zhou ; Tao Wang ; Xiao Yi ; Changcheng Zhu
    Electrical Insulation, 2008. ISEI 2008. Conference Record of the 2008 IEEE International Symposium on

    DOI: 10.1109/ELINSL.2008.4570340
    Publication Year: 2008 , Page(s): 327 - 330
    Cited by:  Papers (1)

    IEEE Conference Publications

    A measuring and analytical platform of corona discharge combining CoroCAM IV+ with the virtual instrument programming environment - Labview 8.0 - was designed. Selecting the proper algorithm and flowchart of the digital image processing, the Area Percentage of the UV image within the discharge zone was defined as the characterizing parameter of quantifying the intensity of corona discharge with processing the UV video of corona discharge recorded real time. Under the approximate standard atmospheric ambient, the study on corona discharge under the power frequency voltage of the rod-plane gap based on the UV digital image processing is carried out. The results illuminate that the flowchart of the digital image processing mentioned in the paper could reproduce the images observed by the UV imaging camera so as to ensure the validity of the quantifying parameter of corona discharge; the characterizing parameter could reflect the corona discharge development stages definitely; the regularity of the UV imaging of corona discharge attenuating with the observation distance is obtained; Standard Conversion Method - the applicable criterion of the corona discharge UV imaging detection is proposed. View full abstract»

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