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A skeleton extracting algorithm for dorsal hand vein pattern

A skeleton extracting algorithm for dorsal hand vein pattern

引用

2010 International Conference on computer Application and System Modeling, ICCASM 2010

作者： Yang, Lin Liu, Xiangbin Liu, Zhicheng Institute of Image Recognition and Computer Vision Hunan Normal University Changsha China

ISBN: (纸本)9781424472369

Extracting vein skeleton with little distortion from the vein image is very important for improving the identification rate. In the paper, an algorithm for segmenting the dorsal hand vein image and extracting the vein skeleton is presented. Firstly, after gray and size normalizing, Gaussian lowpass filter and median filter are used to eliminate the speck noise and the horizontal strip scanning noise respectively. Then, an improved NiBlack algorithm segments the vein pattern and an area thresholding algorithm removes the noise blocks from the vein pattern. Subsequently, opening, closing and median filter are used to smooth the vein boundary. After that, the vein pattern is thinned by Kejun Wang's improved conditional thinning. Lastly, a pruning algorithm is presented to trim the spurs and the vein pattern is skeletonized. Experiment shows the algorithm acquires more real skeleton. © 2010 IEEE.

关键词： Median filters

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A dorsal hand vein pattern recognition algorithm

A dorsal hand vein pattern recognition algorithm

引用

2010 3rd International Congress on image and Signal Processing, CISP 2010

作者： Li, Xi Liu, Xiangbin Liu, Zhicheng College of Math and Computer Science Hunan Normal University Changsha China Institute of Image Recognition and Computer Vision Hunan Normal University School of Information Science and Engineering Changsha China Institute of Image Recognition and Computer Vision Hunan Normal University Changsha China

ISBN: (纸本)9781424465149

An algorithm for dorsal hand vein pattern recognition is presented in the paper. To improve the recognition ratio, the vein skeleton extracting with little distortion is very important. Firstly, the algorithm acquires a clean, one-pixel-width skeleton with little distortion after a series of processes: size and gray normalizing, Gaussian lowpass and median filtering, NiBlack local dynamic thresholding segmenting, area thresholding, morphological opening and closing, median filtering, conditional thinning, spurs pruning. Then, the seven corrected moment invariants of the vein skeleton are extracted as the feature vector. At last, the feature vector is input into SVM for training and recognition. Experiment shows the algorithm achieves a higher recognition ratio of 95.5%. ©2010 IEEE.

关键词： Support vector machines

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Mathematical modeling for corner saliency

Mathematical modeling for corner saliency

引用

International Conference on Software Technology and Engineering

作者： Jiang, Shao-Hua Xu, Xue-Jun Zhu, Hong-Bo Chen, Xue-Song Digital Engineering and Simulation Research Center Huazhong University of Science and Technology Wuhan 430074 China Institute of Image Recognition and Computer Vision Hunan Normal University Changsha 410081 China

ISBN: (纸本)9781424486656

This paper proposed the definition of corner saliency firstly, which is an intrinsic characteristic of a corner and denote the contributiveness of a corner on the result of image processing. Then, we discussed the relation among the corner saliency, the out-in degree, the angle sequence and the ratio of line-length sequence in detail, and formulate a mathematic model to calculate the corner saliency. Finally, we introduced an experiment to illustrate the calculation of corner saliency. It shows that the proposed model is effective and has practical application value also. © 2010 IEEE.

关键词： image processing

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A Skeleton Extracting Algorithm for Dorsal Hand Vein Pattern

A Skeleton Extracting Algorithm for Dorsal Hand Vein Pattern

引用

The 2010 International Conference on computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

作者： Lin Yang Xiangbin Liu Zhicheng Liu Institute of Image Recognition & Computer Vision Hunan Normal University Changsha China

ISBN: (纸本)9781424472352

Extracting vein skeleton with little distortion from the vein image is very important for improving the identification rate. In the paper, an algorithm for segmenting the dorsal hand vein image and extracting the vein skeleton is presented. Firstly, after gray and size normalizing, Gaussian low pass filter and median filter are used to eliminate the speck noise and the horizontal strip scanning noise respectively. Then, an improved NiBlack algorithm segments the vein pattern and an area thresholding algorithm removes the noise blocks from the vein pattern. Subsequently, opening, closing and median filter are used to smooth the vein boundary. After that, the vein pattern is thinned by Kejun Wang's improved conditional thinning. Lastly, a pruning algorithm is presented to trim the spurs and the vein pattern is skeletonized. Experiment shows the algorithm acquires more real skeleton.

关键词： vein pattern recognition segmentation smoothing skeletonizing

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A dorsal hand vein pattern recognition algorithm

A dorsal hand vein pattern recognition algorithm

引用

Congress on image and Signal Processing, CISP

作者： Xi Li Xiangbin Liu Zhicheng Liu College of Math and Computer Science Hunan Normal University Changsha China Institute of Image Recognition & Computer Vision Hunan Normal University China School of Information Science and Engineering Central South University Changsha China Institute of Image Recognition & Computer Vision Hunan Normal University Changsha China

关键词： Veins Feature extraction Skeleton Pattern recognition Pixel image segmentation Support vector machines

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Mathematical modeling for corner saliency

Mathematical modeling for corner saliency

引用

International Conference on Software Technology and Engineering (ICSTE)

作者： Shao-hua Jiang Xue-jun Xu Hong-bo Zhu Xue-song Chen Institute of Image Recognition & Computer Vision Hunan Normal University Changsha China Digital Engineering & Simulation Research Center Huazhong University of Science and Technology Wuhan China

关键词： Mathematical model Object recognition image edge detection Software image fusion Correlation

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A comparative performance study of thresholding algorithms for particle images

A comparative performance study of thresholding algorithms f...

引用

2000年第16届世界计算机大会

作者： Luya Wang Weixing Wang Institute of Image Recognition and Computer Vision Hunan Normal University

A comparative performance study of eight global thresholding algorithms for particle images were *** the selected eight global thresholding algorithms,three of them were based on gray level histograms,and the remainin... 详细信息

关键词： BCV A comparative performance study of thresholding algorithms for particle images image

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A froth image segmentation algorithm

A froth image segmentation algorithm

引用

2000年第16届世界计算机大会

作者： Luya Wang Weixing Wang Institute of Image Recognition and Computer Vision Hunan Normal University

This paper describes a froth image segmentation *** order to determine bubble size,shape and texture information from the froth images,the images have to be *** of the large variation of the froth image patterns and quality,it is difficult to existing segmentation ***,we modified and combined different existing image segmentation algorithms to form a new segmentation algorithm for froth images. In the algorithm,we used and modified a thresholding algorithm to automatically detect maximum of bubbles,then perform morphological technique to growing bubble *** over-segmentation problem was resolved by a object merging algorithm based bubble shape *** the paper,three froth image segmentation results are demonstrated,which shows that the developed segmentation is reasonable for froth images.

关键词： A froth image segmentation algorithm image

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A comparative performance study of thresholding algorithms for particle images

A comparative performance study of thresholding algorithms f...

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： Luya Wang Weixing Wang Institute of Image Recognition and Computer Vision Hunan Normal University China

A comparative performance study of eight global thresholding algorithms for particle images were investigated. Of the selected eight global thresholding algorithms, three of them were based on gray level histograms, a... 详细信息

关键词： Histograms Optimized production technology image segmentation Probability distribution image recognition computer vision Stress Laplace equations Entropy Additive noise

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Froth image segmentation algorithms and their validation

Froth image segmentation algorithms and their validation

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： Weixing Wang Luya Wang Institute of Image Recognition and Computer Vision Hunan Normal University China

In mineral processing, froth characteristics are important for flotation results. To monitor the variation of froth characteristics, an optical system has been developed. In the flotation system, one important procedure for image processing and analysis is image segmentation. This paper presents four newly developed segmentation algorithms for froth images. Results of image segmentation were compared to manual segmentation results, and comparisons show that the newly developed algorithms work well for the tested froth images.

关键词： image segmentation image edge detection image analysis Testing image texture analysis Algorithm design and analysis Labeling Systems engineering and theory Machine vision image recognition

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