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Medical Imaging 2009: Physics of Medical Imaging

作者： Xi, Chen Xuanqin, Mou Hao, Yan Hengyong, Yu Lei, Zhang Institute of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an Shaanxi 710049 China Biomedical Imaging Division School of Biomedical Engineering and Science Virginia Tech. Blacksburg VA 240601 United States Department of Computing Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Hong Kong

ISBN: (纸本)9780819475091

X-ray scatter leads to erroneous calculations of dual-energy digital mammography (DEDM). The existing methods for scatter correction in DEDM are using anti-scatter grids or the pinhole-array interpolation method which is complicated and impractical. In this paper, a scatter correction algorithm for DEDM is developed based on the knowledge that scatter radiation in mammograms varies slowly and most pixels in mammograms are non-microcalcification pixels. The proposed algorithm only uses the information of low-energy (LE) and high-energy (HE) images. And it doesn't need anti-scatter grids, lead sheet and extra exposures. Our results show that the proposed scatter correction algorithm is effective. When using the simple least-squares fit and linear interpolation, the scatter to primary ratio (SPR) can be decreased from ~33.4% to ~2.8% for LE image and from ~26.2% to ~0.8% for HE image. Applying scatter correction to LE and HE images, the resultant background signal in the DE (dual-energy) calcification image an be reduced significantly. ©2009 SPIE.

关键词： Pixels

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Analysis of appearance features for human matching between different fields of view

Analysis of appearance features for human matching between d...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Xiaowei Lv Qing-Jie Kong Fei Weng Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Beckman Institute Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign Urbana IL USA

Human matching between different fields of view is a difficult problem in intelligent video surveillance; whereas fusing multiple features has become a strong tool to solve it. In order to guide the fusion scheme, it is necessary to evaluate the matching performance of these features. In this paper, four typical features are chosen for the evaluation. They are the color histogram, UV chromaticity, major color spectrum histogram, and scale-invariant features (SIFT). Quantities of video data are collected to test their general accuracy, robustness, and real-time applicability. The robustness is measured under the conditions of illumination changes, Gaussian and salt noises,foreground errors, resolution changes, and camera angle differences. The experimental results show that the four features bear distinctive performances under the different conditions, which will provide important references for the feature fusion methods.

关键词： Humans Colored noise Histograms Noise robustness Video surveillance Testing Noise measurement Lighting Gaussian noise Cameras

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Kalman filtering based watermarking algorithm

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Journal of Information and Computational science 2009年第6期6卷 2193-2198页

作者： Zhang, Fan Ding, Aiping Shang, Dongfang Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 China College of Computer and Information Engineering Henan University Kaifeng 475001 China Department of Information Engineering Yellow River Conservancy Technical Institute Kaifeng 475001 China

A digital watermark algorithm based on Kalman filter and image fusion is proposed. Digital watermarking is considered as a process of image fusion. Watermark image and original image are unified in a new state equation, and then the corresponding measurement equation is built. Digital watermark is embedded into original image according to the optimal estimation in the case of minimum estimation error variance. Experimental results show that the proposed algorithm has a good robustness and invisibility. © 2009 Binary Information Press.

关键词： Kalman filters

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Modified majority voter for triple modular redundancy system

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Harbin Gongye Daxue Xuebao/Journal of Harbin institute of Technology 2009年第SUPPL. 1期41卷 27-30页

作者： Zhang, Yi-Nan Guo, Ping Laboratory of Image Processing and Pattern Recognition Beijing Normal University Beijing 100875 China Laboratory of Computer Science Institute of Software The Chinese Academy of Sciences Beijing 100080 China

When applying formal majority voter in TMR (triple modular redundancy) fault tolerance system with two error injections, there is a problem that formal majority voter has a low rate of output. To solve this problem, we propose a modified majority voting model with special rules. In the situation of error injection, test result shows that compared with formal majority voter, modified majority voter has a higher rate of correct decision and a lower ratio of benign signals.

关键词： Fault tolerance

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Unsupervised Color-texture image Segmentation

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Journal of Shanghai Jiaotong university(science) 2008年第1期13卷 71-75页

作者：郁生阳张艳王永刚杨杰 Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Department of Computer Science Nanjing University of Science and Technology

The measure J in J value segmentation (JSEG) fails to represent the discontinuity of color, which degrades the robustness and discrimination of JSEG. An improved approach for JSEG algorithm was proposed for unsupervised color-texture image segmentation. The texture and photometric invariant edge information were combined, which results in a discriminative measure for color-texture homogeneity. Based on the image whose pixel values are values of the new measure, region growing-merging algorithm used in JSEG was then employed to segment the image. Finally, experiments on a variety of real color images demonstrate performance improvement due to the proposed method.

关键词： color-texture segmentation J value segmentation （JSEG） photometric color invariance edge detection region growing

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image analysis of Arabidopsis trichome patterning in 4D confocal datasets

Image analysis of Arabidopsis trichome patterning in 4D conf...

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IEEE International Symposium on Biomedical Imaging

作者： R. Bensch O. Ronneberger B. Greese C. Fleck K. Wester M. Hulskamp H. Burkhardt Institute of Computer Science Chair of Pattern Recognition and Image Processing Centre of Biological Signalling Studies (bioss) University of Freiburg Freiburg im Breisgau Germany Center of Biological Systems Analysis (ZBSA) University of Freiburg Germany Center of Biological Systems Analysis (ZBSA) Faculty of Biology University of Freiburg Germany Botanical Institute III University of Köln Germany

ISBN: (纸本)9781424439317

In this article, we present an approach for the automated extraction of quantitative information about trichome patterning on leaves of Arabidopsis thaliana. Time series of growing rosette leaves (4D confocal datasets, 3D + time) are used for this work. At first, significant anatomical structures, i.e. leaf surface and midplane are extracted robustly. Using the extracted anatomical structures, a biological reference coordinate system is registered to the leaves. The performed registration allows to determine intra- as well as inter-series spatiotemporal correspondences. Trichomes are localized by first detecting candidates using Hough transform. Then, local 3D invariants are extracted and the candidates are validated using a Support Vector Machine (SVM).

关键词： image analysis Surface morphology Data mining Robustness Support vector machines Computed tomography Biology Anatomical structure Optimized production technology X-ray imaging

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Improving depth resolution of diffuse optical tomography with an exponential adjustment method based on maximum singular value of layered sensitivity

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Chinese Optics Letters 2008年第12期6卷 886-888页

作者：牛海晶郭平宋晓东蒋田仔 Image Processing and Pattern Recognition Laboratory Beijing Normal University School of Computer Science and Technology Beijing Institute of Technology School of Aerospace Science and Engineering Beijing Institute of Technology National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences

The sensitivity of diffuse optical tomography （DOT） imaging exponentially decreases with the increase of photon penetration depth, which leads to a poor depth resolution for DOT. In this letter, an exponential adjustment method （EAM） based on maximum singular value of layered sensitivity is proposed. Optimal depth resolution can be achieved by compensating the reduced sensitivity in the deep medium. Simulations are performed using a semi-infinite model and the simulation results show that the EAM method can substantially improve the depth resolution of deeply embedded objects in the medium. Consequently, the image quality and the reconstruction accuracy for these objects have been largely improved.

关键词： Diagnostic radiography Electroabsorption modulators image quality Light absorption Medical imaging Optical tomography

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A fake iris detection method based on FFT and quality assessment

A fake iris detection method based on FFT and quality assess...

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2008 Chinese Conference on pattern recognition, CCPR 2008

作者： He, Xiaofu Lu, Yue Shi, Pengfei Department of Computer Science and Technology East China Normal University Shanghai 200241 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781424423163

In recent years, iris recognition is becoming a very active topic in both research and practical applications. However, fake iris is a potential threat there are potential threats for iris-based systems. This paper presents a novel fake iris detection method based on the analysis of 2-D Fourier spectra together with iris image quality assessment. First, image quality assessment method is used to exclude the defocused, motion blurred fake iris. Then statistical properties of Fourier spectra for fake iris are used for clear fake iris detection. Experimental results show that the proposed method can detect photo iris and printed iris effectively. ©2008 IEEE.

关键词： Biometrics

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ANT colony optimization algorithm for feature selection and classification of multispectral remote sensing image

ANT colony optimization algorithm for feature selection and ...

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2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings

作者： Wen, Lintao Yin, Qian Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781424428083

In classification of multispectral remote sensing image, it is usually difficult to obtain higher classification accuracy if only consider image's spectral feature or texture feature alone. In this paper ,we presents a new approach by applying Ant Colony Optimization (ACO) algorithm to find a multi-feature vector composed of spectral and texture features in order to get a better result in the classification. The experimental results show that ACO algorithm is helpful in subset searching of the features used to multispectral remote sense image's classification. Using the combination of the spectral and texture features obtained by ACO in classification always get a better accuracy. ©2008 IEEE.

关键词： Ant colony optimization

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Extraction of complex wavelet features for iris recognition

Extraction of complex wavelet features for iris recognition

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作者： He, Xiaofu Shi, Pengfei Department of Computer Science and Technology East China Normal University Shanghai 200241 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781424421756

This paper presents a new feature extraction method for iris recognition. Since two dimensional complex wavelet transform (2D-CWT) does not only keep wavelet transform's properties of multiresolution decomposition analysis and perfect reconstruction, but also adds its new merits: approximate shift invariance, good directional selectivity for 2-D image, and limited redundancy, which are useful for iris feature extraction. So, a set of high frequency 2D-CWT coefficients are selected as features for iris recognition. The phase information of the coefficients is used for feature encoding and Hamming distance is adopted for classification. Experimental results show that the proposed algorithm can get good recognition rate. © 2008 IEEE.

关键词： Hamming distance

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