1997 Sixth International Conference on Image Processing and Its Applications

14-17 Jul 1997

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  • A colour histogram clustering technique for tissue analysis of healing skin wounds

    Publication Year: 1997, Page(s):693 - 697 vol.2
    Cited by:  Papers (9)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (632 KB)

    A method for automatically quantifying the proportions of healthy granulation tissue in a healing skin wound using true colour image processing is described. A novel technique is proposed, involving the computation of the 3D RGB histogram of colour wound images and operations on it. Clustering of bins in the colour histogram has been used to achieve automatic segmentation of the different tissue t... View full abstract»

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  • Colour segmentation for the analysis of pigmented skin lesions

    Publication Year: 1997, Page(s):688 - 692 vol.2
    Cited by:  Papers (5)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1064 KB)

    A colour segmentation scheme based on two-dimensional histogram analysis and the fuzzy c-means clustering technique is presented. The method is applied to digitised epiluminescence microscopy images of pigmented skin lesions and is used for the extraction of all homogeneously coloured regions. Methods to reduce the influence of small structures, hairs, bubbles, light reflection, and other artefact... View full abstract»

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  • Real-time minutiae extraction in fingerprint images

    Publication Year: 1997, Page(s):871 - 875 vol.2
    Cited by:  Papers (10)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (516 KB)

    Feature extraction is one of the most important tasks in an automatic fingerprint identification system (AFIS). The characteristics to be extracted in a given fingerprint image can be divided into two main categories: global or high-level features and local or low-level features. Cores and deltas are examples of global features. Their number and location in the fingerprint are used to classify the... View full abstract»

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  • Robust scene interpretation of underwater image sequences

    Publication Year: 1997, Page(s):660 - 664 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (548 KB)

    A novel vision system is proven at a conceptual level to help unmanned remotely operated vehicles (ROVs) interpret underwater oceanic scenes and clarify noisy image sequences. The images contain objects of interest (metal cylinders of a known oil rig structure) and background (water). After contrast stretching for enhancement, images are segmented using a quickly convergent method based on Markov ... View full abstract»

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  • Post-processing block coded images using artificial neural networks

    Publication Year: 1997, Page(s):684 - 687 vol.2
    Cited by:  Patents (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (520 KB)

    A technique employing artificial neural networks for post-processing block coded images is presented. Visually important image features are extracted from the decompressed image and used as input to a feedforward neural network. The neural network learns to reconstruct the difference image between the original (uncompressed) and the decompressed image. Coding artifact reduction is achieved by addi... View full abstract»

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  • IR scene generation for the testing of image analysis algorithms

    Publication Year: 1997, Page(s):867 - 870 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (492 KB)

    The aim of the work described in this paper, is to generate realistic infra-red (IR) images of sea clutter including sun glint, suitable for the testing of image analysis and detection algorithms. The accuracy of detection algorithms can only be determined by using a wide variety of test data representing different scene parameters such as sea state, sun angles and camera position. This type of da... View full abstract»

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  • Region based image content descriptors and representation

    Publication Year: 1997, Page(s):561 - 565 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (432 KB)

    This paper addresses some of the difficulties involved in the automatic generation of image content descriptors within a specific domain of airborne reconnaissance. The initial stages of the work concentrated on the development/collation of a set of feature detectors covering points (corners), lines (edges, ridges) and regions which operate on a variety of image sensors (e.g. SPOT, IRLS-Infra-red ... View full abstract»

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  • Automated leaf shape description for variety testing in chrysanthemums

    Publication Year: 1997, Page(s):497 - 501 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (408 KB)

    Breeding new varieties of plant species for agriculture and horticulture is a potentially profitable business that requires considerable investment of equipment, labour and time. Improvements in the varieties of wheat sown in the UK have been partially responsible for a threefold increase in yield over the last fifty years. Because it is not possible to patent plant material a statutory system of ... View full abstract»

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  • Determining the location of industrial bar-codes using neural networks

    Publication Year: 1997, Page(s):511 - 515 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (488 KB)

    Although bar-codes are normally thought of in the context of the labelling of products in retail situations, they increasingly find use in a manufacturing context for identification purposes. This paper describes a technique which locates bar-codes in a computer image of a manufacturing cell. The bar-code detecting sub-system is based on a neural network. Two neural network paradigms (the multilay... View full abstract»

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  • A two-stage process for accurate image segmentation

    Publication Year: 1997, Page(s):655 - 659 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (788 KB)

    Segmenting images is one of the most important steps in many high-level computer vision algorithms. The ability to divide images up into meaningful regions based upon properties such as shape, texture and colour has still not been fully solved. In this paper we show how good quality segmentations of complex outdoor scenes may be achieved by a two-stage process. The first step is to produce an appr... View full abstract»

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  • Phase unwrapping in 3-D shape measurement using artificial neural networks

    Publication Year: 1997, Page(s):680 - 683 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (276 KB)

    Two observations are worthy of note. First, the experienced optical engineer can usually determine, sometimes partly subjectively, the positions of phase wraps in the image. This suggests that the information necessary to identify phase wraps does exist. Second, to date, no universally applicable technique for phase wrap detection is available. Indeed, it may be that there is no straight forward a... View full abstract»

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  • Simulating infra-red land clutter: an image processing data source

    Publication Year: 1997, Page(s):862 - 866 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (660 KB)

    In most image processing tasks, the essential difficulty is in the analysis- there is always a ready source of data. We describe a task where this is not the case, and our approach to resolving the difficulty. MIST has been designed to produce data to test image processing algorithms. Our system essentially approaches the image processing task back to front. We have attempted to develop a system w... View full abstract»

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  • Face authentication based on morphological shape decomposition

    Publication Year: 1997, Page(s):794 - 798 vol.2
    Cited by:  Papers (46)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (544 KB)

    A novel morphological dynamic link architecture that employs morphological shape decomposition as a feature extraction mechanism has been developed and tested. The first experimental results collected are very encouraging and indicate that the proposed method outperforms the (standard) dynamic link matching that is based on Gabor wavelets View full abstract»

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  • Parsimonious texture synthesis using binomial linear prediction

    Publication Year: 1997, Page(s):600 - 603 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (444 KB)

    An unsupervised texture synthesis method operating in a dimensionally small parameter space is presented. It consists of two stages. In the first stage, the morphological structure of a given prototype is reproduced using an hard limited Gaussian random field. The second stage is a simple low pass filter for texture reconstruction from a binary input. The model identification process is described ... View full abstract»

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  • Thermographic image analysis of discharge lamp performance

    Publication Year: 1997, Page(s):727 - 730 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (328 KB)

    Quality assurance testing of street lighting equipment and systems is a major technical issue of a global scale. This paper presents the results of a study into the viability and usefulness of using infra-red thermography imaging as a method for the quality assurance testing of discharge lamps of the type used in street lighting systems. The results of this investigation form the basis for the dev... View full abstract»

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  • Optimal image segmentation by error diffusion

    Publication Year: 1997, Page(s):641 - 644 vol.2
    Cited by:  Patents (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (416 KB)

    We propose a general approach to forming effective image decompositions for image compression. This is achieved by diffusing the error evenly over the image surface. Our approach can be applied to any compression method which splits the image hierarchically into non-overlapping regions. It is efficient, achieving near optimal decomposition in a single pass. A list of image regions sorted in order ... View full abstract»

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  • Universal reprogrammable architecture for implementation dedicated image processors based on FPGA

    Publication Year: 1997, Page(s):556 - 560 vol.2
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (288 KB)

    An universal reprogrammable architecture for implementation of the dedicated image processors (DIP) is presented. This paper considers a new strategy of implementation of the DIP based on replacing specialized hardware by a reprogrammable structure. It affords the possibility of creating a flexible image processing system consisting of a reprogrammable hardware structure. The flexible processing s... View full abstract»

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  • Automated femoral measurement in total hip replacement radiographs

    Publication Year: 1997, Page(s):843 - 847 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (676 KB)

    Loosening of the prosthesis components is the most common long term problem following total hip replacement (THR) and is difficult to treat successfully. We have developed a reliable and accurate method of automatically segmenting, classifying and measuring the femoral components of cemented THR. Our method combines three separate techniques to classify, different sections of the model from standa... View full abstract»

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  • Pairwise representation for image database indexing

    Publication Year: 1997, Page(s):492 - 496 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (928 KB)

    This paper develops a simple and robust representation scheme for indexing line patterns. The application vehicle used in this study involves indexing into an aerial image database using a cartographic model. The images contained in the database are of urban and semi-urban areas. The cartographic model represents a road network known to appear in a subset of the images contained within the databas... View full abstract»

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  • Chrominance restoration from luminance by statistics matching

    Publication Year: 1997, Page(s):703 - 707 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (364 KB)

    This paper deals with a problem existing in art restoration. More precisely the algorithm that is being presented tries to restore chrominance information onto a gray level image as accurately as possible. The method was developed to try to restore the information of baroque paintings on the ceiling of a church. Those paintings were severely damaged during the Spanish Civil War and the only availa... View full abstract»

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  • Surface defect and texture identification in construction materials

    Publication Year: 1997, Page(s):507 - 510 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (260 KB)

    This paper describes an investigation into the assessment of inconsistencies in texture of concrete materials, using image processing. This work is being carried out in collaboration with a major manufacturer of construction materials. The materials should have a fairly rough but uniform surface. Rejected samples exhibiting surface openness and cracks respectively, are shown. Texture assessment is... View full abstract»

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  • Circular neighbourhood features for texture classification

    Publication Year: 1997, Page(s):609 - 612 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (276 KB)

    Four of the most powerful rotation invariant texture descriptors are the CSAR, the wavelet transform with hidden Markov model, Gabor filters and the Laplacian pyramid filters. Even though all of these techniques reported high recognition rates, most of them require a large number of training samples from various orientations to produce good class representations. The CSAR is the only method that c... View full abstract»

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  • Recognizing engineering drawing entities: technology and results

    Publication Year: 1997, Page(s):736 - 740 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (420 KB)

    The problem of engineering drawing (ED) image recognition is analyzed. We extract and describe the main stages of the technology and show how an initial image could be transformed into the final representation. The intermediate image models are shown and described as well as the possible output image representations. The main principles of ED image interpretation are introduced. Practical results ... View full abstract»

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  • Motion segmentation for region-based coding

    Publication Year: 1997, Page(s):650 - 654 vol.2
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (372 KB)

    We present new hybrid motion segmentation method. A comparison with classical morphological and motion field segmentation methods shows that it has a better rate-distortion performance when it is used to segment start regions for a region optimization algorithm. Improvements by re-segmentation and a more accurate approximation of the start regions for initialization of the optimization procedure a... View full abstract»

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  • Use of rank-conditioned morphological operators for texture classification

    Publication Year: 1997, Page(s):618 - 622 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (976 KB)

    The texture analysis method developed has been successfully applied to a variety of natural textures. It is based on extraction of integer data, and the histogram feature data extraction is capable of implementation in hardware, based on a shift and compare algorithm on a pixel by pixel basis, comparison being undertaken over the chosen template shape size. Subject to the replication of the shape ... View full abstract»

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