Showing 1-25 of 11,177 resultsfor "Index Terms":Local Histogram
"Index Terms":Local Histogram
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Image contrast enhancement by preserving brightness using global and local features
Third International Conference on Computational Intelligence and Information Technology (CIIT 2013)
Year: 2013 | Conference Paper |
Cited by: Papers (2)
Image enhancement is one of the most significant techniques in digital image processing. This paper introduces two image enhancement methods, Weighted of Local and Bidirectional Smooth Histogram Stretching (WLBSHS) and Local then Bidirectional Smooth Histogram Stretching (LBSHS). WLBSHS uses local and global enhancement in weighted approach. Main purpose of local enhancement is sharpening edges of...Show More
A real-time face recognition system based on the improved LBPH algorithm
2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP)
Year: 2017 | Conference Paper |
Cited by: Papers (49)
The Local Binary Pattern Histogram(LBPH) algorithm is a simple solution on face recognition problem, which can recognize both front face and side face. However, the recognition rate of LBPH algorithm under the conditions of illumination diversification, expression variation and attitude deflection is decreased. To solve this problem, a modified LBPH algorithm based on pixel neighborhood gray media...Show More
An Adaptive Detection Method for Early Smoke of Coal Mine Fire Based on Local Features
2022 International Conference on Image Processing and Media Computing (ICIPMC)
Year: 2022 | Conference Paper |
Cited by: Papers (3)
Aiming at the particularity of coal mine conditions, and in order to improve the effectiveness of smoke detection method in actual early detection, an early fire image smoke detection method based on adaptive histogram algorithm is proposed in this paper. Firstly, the principle of adaptive histogram algorithm for smoke image is explained, and the calculation method of line by line sliding window h...Show More
A SIFT descriptor with local kernel color histograms
2011 Second International Conference on Mechanic Automation and Control Engineering
Year: 2011 | Conference Paper |
Cited by: Papers (1)
SIFT (Scale Invariant Feature Transform) has proved to be the most robust local invariant feature descriptor in object recognition and matching. Being designed mainly for the gray images, SIFT shows its vulnerability when deal with color images. To overcome this problem and increase the descriptor's distinctiveness, we introduce a new descriptor, a combination of the SIFT approach and the improved...Show More
Two-Layer Method of Image Retrieval Based on Global Color Histogram and Local Color Spatial Features
2007 International Conference on Machine Learning and Cybernetics
Year: 2007 | Conference Paper |
A new method based on two layers image retrieval is proposed. The first layer retrieval feature is global color histogram and the second one consists of the local color histogram, the averages and variances of the multi-scaling 2D wavelet decomposition coefficients. Difference weights are assigned to every block according to the importance of its spatial distribution. This method combines the adva...Show More
A Multiscale Morphological Approach to Local Contrast Enhancement for Ultrasound Images
2010 International Conference on Computational and Information Sciences
Year: 2010 | Conference Paper |
Cited by: Papers (10)
A scheme for enhancing local contrast of ultrasound images based on multiscale morphology is presented in this paper. The conventional theoretical concept of local contrast enhancement using mathematical morphology has been applied in the field of ultrasound image processing. The main idea is to preserve speckle region unchanged and enhance tissue boundaries. The criterion of speckle region is def...Show More
Study and comparison on histogram-based local image enhancement methods
2017 2nd International Conference on Image, Vision and Computing (ICIVC)
Year: 2017 | Conference Paper |
Cited by: Papers (3)
Histogram-based image enhancement methods are widely used in image pre-processing, which are vital for the consequential image analysis, feature extraction and object recognition. This paper studies six adaptive methods which modify the conventional histogram equalization (HE) and further concern the local quality of the normalized images. The parameters for controlling the normalization effects a...Show More
A novel retinal vessel segmentation based on local adaptive histogram equalization
2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP)
Year: 2013 | Conference Paper |
Cited by: Papers (10)
The appearance and structure of blood vessels in retinal images has an important role in diagnosis of diseases. This paper proposes a method for segmentation of blood vessels in color retinal images. We present a method based on preprocessing of retinal images by enhancing the histogram of grayscale images. We research the effect of linear and non-linear intensity transformation in retinal vessel ...Show More
An Adaptive Global and Local Tone Mapping Algorithm Implemented on FPGA
Prasoon Ambalathankandy;Masayuki Ikebe;Takayuki Yoshida;Takeshi Shimada;Shinya Takamaeda;Masato Motomura;Tetsuya Asai
We present a fast global and locally adaptive tone mapping algorithm and its field-programmable gate array (FPGA) implementation. The specially designed tone mapping function, which is based on local histogram equalization, controls global, and local characteristics individually. In contrast to other tonemap operators, our algorithm manages light/dark halos separately and by using local tonemap fu...Show More
The Performance of Face Recognition Using the Combination of Viola-Jones, Local Binary Pattern Histogram and Euclidean Distance
2020 4th International Conference on Informatics and Computational Sciences (ICICoS)
Year: 2020 | Conference Paper |
Cited by: Papers (5)
Achieving low recognition time and high accuracy in real-time face recognition is challenging. This study implements Viola-Jones, Local Binary Pattern Histogram, and Euclidean Distance for real-time face recognition and calculates the face detection time. The face image is detected using the Viola-Jones method; its features are extracted using the Local Binary Pattern Histogram, and the face is re...Show More
Detection, Recognition, and Tracking Face Using 2 DoF Robot with Haar LBP Histogram
2018 International Conference on Applied Engineering (ICAE)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
Robot with face detection and recognition can be useful. Some researchers have already been tried to implement the face detection and identification to robot applications, however, these applications need a high requirement of the camera(s). This paper attempts to overcome this problem, using a webcam placed in a head robot. Haar Cascade as face detection algorithm, whereas face recognition uses a...Show More
Accuracy improvement of histogram-based image filtering
2013 IEEE International Conference on Image Processing
Year: 2013 | Conference Paper |
Cited by: Papers (9)
We propose a method for improving the accuracy of histogram-based image filtering. With this method, we define a histogram called intensity-stacked histogram. An image histogram generally consists of a frequency (number of pixels) for each bin. On the other hand, intensity-stacked histogram stores the sum of intensity values for each bin. The intensity-stacked histogram can be calculated in consta...Show More
Comparative analysis of Histogram Equalization techniques
2014 International Conference on Contemporary Computing and Informatics (IC3I)
Year: 2014 | Conference Paper |
Cited by: Papers (37)
Histogram Equalization (HE) is one of the techniques which is used for Image enhancement. This paper shows the comparative studies of Global Histogram Equalization, Local Histogram Equalization and Fast Quadratic Dynamic Histogram Equalization based on the execution time, mean squared error and Peak Signal to Noise Ratio (PSNR). This paper shows the experimental results for these three methods wit...Show More
Hand Gesture Recognition Using Local Histogram Feature Descriptor
2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI)
Year: 2018 | Conference Paper |
Cited by: Papers (14)
Hand gesture recognition system is widely used in the development of human-computer interaction. The vision based hand gesture recognition is achieved by the following steps: preprocessing, feature extraction and classification. The aim of preprocessing stage is to localize the hand region from the image frame. The Laplacian of Gaussian filtering technique along with zero crossing detector is appl...Show More
Indonesian Ethnicity Recognition Based on Face Image Using Uniform Local Binary Pattern (ULBP) and Color Histogram
2020 4th International Conference on Informatics and Computational Sciences (ICICoS)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
Ethnicity is one of identity every human has and can be used to categorize individuals in populations or large groups. We presented an Indonesian ethnicity recognition based on facial images using Uniform Local Binary Pattern (ULBP) and Color Histogram as a feature extraction method. We used the five largest ethnic groups in Indonesia, namely Sundanese, Javanese, Banjar, Buginese, and Malay. In th...Show More
A Review: Contrast-Limited Adaptive Histogram Equalization (CLAHE) methods to help the application of face recognition
2018 Third International Conference on Informatics and Computing (ICIC)
Year: 2018 | Conference Paper |
Cited by: Papers (60)
Image processing technology in hardware and software has a significant development in all aspects of human civilization. Image processing is growing rapidly in various fields such as medical image, Biometrics, Object identification, Object character recognition (OCR), and many more. One biometric technique in an application detects and recognizes faces. Objectives of face recognition include recog...Show More
Contrast enhancement and brightness preservation using global-local image enhancement techniques
2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC)
Year: 2016 | Conference Paper |
Cited by: Papers (18)
The contrast enhancement technique plays a vital role in image processing to bring out the information that exists within low dynamic range of that gray level image. To improve the quality of an image, it required to perform the operations like contrast enhancement and reduction or removal of noise. This paper proposed a concept of contrast enhancement using the global mean of entire image and loc...Show More
Fast Representation Based on a Double Orientation Histogram for Local Image Descriptors
In recent years, extensive research on local invariant features has been conducted, and many novel descriptors have been developed for different scenarios. Frequently, these descriptors can offer unique advantages (such as stability, precision, and speed) for select applications but perform unsatisfactorily from a comprehensive perspective. Consequently, a novel local image descriptor, named fast ...Show More
A New Framework of Feature Extraction to Capture Underlying Statistical Information in Image Histogram
Raja Abdullah Raja Ahmad;Muhammad Imran Ahmad;Said Amirul Anwar;Mohd Nazrin Md Isa
2019 IEEE 9th International Conference on System Engineering and Technology (ICSET)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
In recent years, the face recognition application related to Local Binary Pattern (LBP) as features extraction or pattern extraction is actively proposed. The combination of LBP and Gaussian Mixture Model (GMM) is a novel framework where, both are well known as powerful tools. The proposed method is discussing about the new implementation of independent histogram matrix structure from uniform patt...Show More
A New Book Retrieval Framework Based on Local and Global Image Descriptors
2013 Seventh International Conference on Image and Graphics
Year: 2013 | Conference Paper |
In this paper, we have developed a novel algorithm for book image retrieval that can find test book images accurately and efficiently. In our proposed algorithm, SIFT Vocabulary tree is first used to model the local information and to get the preliminary results. The final result is determined via multi-features joint decision. The multi-features are SIFT density, SIFT distribution histogram, edge...Show More
Local Binary Pattem Variants: A Review
Anterpreet Kaur Bedi;Ramesh Kumar Sunkaria;Simarjot Kaur Randhawa
2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)
Year: 2018 | Conference Paper |
Cited by: Papers (4)
Local Binary Pattern (LBP) is a non-parametric descriptor that is used to study various local structures of an image. It is considered as simple and efficient texture operator for image analysis in challenging real-time situations. It has been applied successfully for various applications of computer vision and image processing, like pattern recognition, texture analysis, face detection, image ret...Show More
A novel face detection approach using local binary pattern histogram and support vector machine
2018 International Conference on Advanced Systems and Electric Technologies (IC_ASET)
Year: 2018 | Conference Paper |
Cited by: Papers (18)
Several applications including access control, system security need a robust and real-time face identification systems. The last is almost performed by two processes: the detection of the face and then the recognition. In literature, it can be found that some techniques are used exclusively for the detection process and some others are dedicated for the recognition. In this paper, we propose to te...Show More
A Cloud-Computing Local Histogram Construction Algorithm for Big Image Data
Chung-Chih Cheng;Fan-Chieh Cheng;Po-Hsiung Lin;Shih-Chia Huang
2014 IEEE International Congress on Big Data
Year: 2014 | Conference Paper |
The local histogram is a key feature that the intensity probability of each pixel. As the neighbours of each pixel must be visited, the construction of local histogram in the big image data is time-consuming. In this paper, we propose a new local histogram construction algorithm based on cloud-computing. Through a real-time communication network, the computation cost can be easily shared to constr...Show More
Adaptive Local Repair Based on Histogram Equalization Image Enhancement Algorithm
2024 2nd International Conference on Algorithm, Image Processing and Machine Vision (AIPMV)
Year: 2024 | Conference Paper |
Aiming at the problem that existing image enhancement algorithms do not reuse mapping values, a histogram equalization image enhancement algorithm based on adaptive local repair is proposed. The algorithm first obtains the histogram equalization mapping relationship of the original image and calculates the adaptive coefficient through the mapping value, then calculates the local repair value in th...Show More
Illuminated facial preprocessing with Wavelet Local Binary Patterns Histogram Specification
2009 7th International Conference on Information, Communications and Signal Processing (ICICS)
Year: 2009 | Conference Paper |
Contemporary 2D face recognition is still a challenging work, especially when lighting varies. Thus, many works of resolving illumination variation in face recognition have been proposed, in the past decades. In this paper, we proposed Wavelet Local Binary Patterns Histogram Specification as a preprocessing technique for illuminated face recognition. Based on wavelet analysis, an illuminated facia...Show More
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