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IEEE Visual Communications and image processing (VCIP)

作者： Ran Shi Zhi Liu Yinzhu Xue Xiang Zhang School of Communication and Information Engineering Shanghai University Shanghai China Key Laboratory of Advanced Display and System Application Ministry of Education Shanghai University Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

Interactive object segmentation is widely used for extracting any user-interested objects from natural images. A common problem with many interactive segmentation approaches is that the object segmentation quality is degraded due to inaccurate object/background seeds provided by the user. This paper proposes an iterative adjustable graph cut to efficiently solve this problem. First, object/background seeds are initialized based on the object segmentation result obtained with the user-specified scribbles as the interactive input. Then, an iterative seed adjustment scheme is exploited to correct inaccurate seeds and extract new suitable seeds via graph cut, in which the balancing weight between energy terms are adaptively updated to protect stable seeds and speedup the iteration process. Finally, suitable seeds are obtained and graph cut is used to segment the objects. Experimental results demonstrate the better segmentation performance of our approach even if user provides rather rough seeds.

关键词： Object segmentation image segmentation Reliability Iterative methods Educational institutions image color analysis Error analysis

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A saliency model based on wavelet transform and visual attention

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Science China(Information Sciences) 2010年第4期53卷 738-751页

作者： LI ZhiQiang, FANG Tao* & HUO Hong institute of image processing and pattern recognition, Shanghai Jiaotong University, Shanghai 200240, China 1. Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China

This paper presents a novel wavelet transform saliency model to detect salient objects. In this model, a saliency map is generated by combining orientation feature maps obtained from wavelet transform of different scale images derived from the same image. Then, the order map of a saliency map is obtained by using Fourier descriptor, which could be used as a guidance to process the most important objects. Experiments indicate that this saliency model is robust to noise and superior to other saliency models in the literature.

关键词： bottom-up attentional mechanism center-surround inhibition phenomenon Fourier descriptor top-down attentional mechanism visual attention wavelet transform

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Support Vector Regression Based Color image Restoration in YUV Color Space

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Journal of Shanghai Jiaotong university(Science) 2010年第1期15卷 31-35页

作者：黎明杨杰苏中义 Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Department of Electronic Engineering Shanghai Dianji University

A support vector regression(SVR) based color image restoration algorithm is *** test color images are firstly mapped into the YUV color space,and then SVR is applied to build up a theoretical model between the degraded images and the original *** comparisons of the proposed algorithm versus traditional filtering algorithms are *** results show that the proposed algorithm has better performance than traditional filtering algorithms and has less computation time than iterative blind deconvolution algorithm.

关键词： color image restoration support vector regression （SVR） color space

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Reduced reference image quality assessment based on Weibull statistics

Reduced reference image quality assessment based on Weibull ...

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2010 2nd International Workshop on Quality of Multimedia Experience, QoMEX 2010

作者： Xue, Wufeng Mou, Xuanqin Institute of Image Processing and Pattern Recognition Xi'an Jiaotong University China

ISBN: (纸本)9781424469604

Theories in fragmentation have proved that the statistics of image gradient magnitude followed a Weibull distribution, with β (scale) and γ (shape) as free parameters, which are demonstrated to be strongly correlated with brain response. In this paper, we chose β extracted from the proposed strongest component map (SCM) in scale space, as the reduced reference (RR) feature, and developed a novel method for reduced reference image quality assessment (RRIQA) named βW-SCM. For each scale, the SCM was constructed by assembling coefficients with maximum amplitude among different orientations into a single map. The Weibull parameters were then estimated from the SCM. The final image quality was computed by summing the geometric mean of the defined absolute and relative deviations of β. Performance evaluation on the well-known LIVE database demonstrated an outstanding advantage of low RR feature data rate with nearly the same prediction accuracy and consistency. ©2010 IEEE.

关键词： Weibull distribution

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Ultrasound Carotid Artery Intima-Media Thickness (IMT) Segmentation Review

Ultrasound Carotid Artery Intima-Media Thickness (IMT) Segme...

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International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Xin Yang Jiaoying Jin Ming Yuchi Mingyue Ding State Key Laboratory for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence (IPRAI) Huazhong University of Science and Technology HUST Wuhan Hubei China Image Processing and Intelligence Control Key Laboratory of Education Ministry of China School of Life Science and Technology Huazhong University of Science and Technology HUST Wuhan Hubei China

Stroke and heart attack, which could be led by a kind of cerebrovascular and cardiovascular disease named asatherosclerosis, would seriously cause human morbidity and mortality. And the carotid artery of intima-media thickness (IMT) is a key indicator to the disease. With the development of computer assisted diagnosis (CAD) technology, Ultrasound imaging, being real-time, economic, reliable, safe, and now seems to become a standard in vascular assessment methodology especially for the measurement of IMT. This review is an attempt to discuss the clinical relevance of measurements in clinical practice at first, and then followed by the challenges that one has to face when approaching the segmentation of ultrasound images. Secondly, the paper is presentation of common used methods for the IMT segmentation and measurement. An overview of summary and future perspectives is given in conclusion finally.

关键词： Ultrasonic imaging image segmentation Carotid arteries Ultrasonic variables measurement Biomedical imaging

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Automatic Detection of the Intima-Media Layer in Ultrasound Common Carotid Artery image Based on Active Contour Model

Automatic Detection of the Intima-Media Layer in Ultrasound ...

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International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Jiaoying Jin Mingyue Ding Xin Yang Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Life School of Science and Technology Huazhong University of Science and Technology Wuhan China State Key Laboratory for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence(IPRAI) Life School of Science and Technology Huazhong University of Science and Technology Wuhan China

The analysis of the carotid artery wall is of paramount importance in clinical practice. Especially, the intima-media thickness is a risk index for some of the most severe acute cerebrovascular pathologies, hence, an accurate segmentation of the different layers of the carotid artery is needed. IMT is usually manually measured on longitudinal B-mode ultrasound images. In the past ten years, many computer-based techniques for intima-media thickness measurement have been proposed to overcome the limits of manual segmentation, but almost all of them require a certain degree of user interaction. In this paper we proposed a novel approach for the completely user-independent segmentation of the common carotid artery wall. Our algorithm is designed for the extraction of the intima and media layers of the distal carotid wall in ultrasound images. It is based on integrated approach consisting of common carotid artery region identification, contour initialization with threshold segmentation, intima-lumen segmentation with Snake, and media-adventitia segmentation with GVF-Snake that enables the automated tracing of the carotid walls. The acoustic impedance's difference is employed to locate common carotid artery region. Finally, the characterization of the algorithm in terms of segmentation error was evaluated with a set of 40 common carotid artery ultrasound images and compared to the segmentation traced by a trained operator. Experiments showed that a mean error lower than 1.3 pixel both on the intima and media layers was obtained, which is comparable to that obtained by means of operator dependent techniques.

关键词： image segmentation Carotid arteries Ultrasonic imaging Media Algorithm design and analysis Ultrasonic variables measurement

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Modifying road shape in digital map based on convexity and concavity

Modifying road shape in digital map based on convexity and c...

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2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010

作者： Ye, Yun Liu, Yuncai Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China

ISBN: (纸本)9781424463503

With the unprecedented growing of city economy and the crying need for public transportation, the ease of traffic related problems such as traffic jams has been a hard nut to crack everywhere. In this paper, a new method based on convexity and concavity to better position the roads and streets of urban areas in order for further GPS/GIS integrated system, which is used for traffic flow analysis, traffic forecast, traffic induction and car positioning and tracking etc, is proposed. Compared with our previous work, this method can yield better results, and the accuracy that we get can be comparable to Google map. Our experiments are based on the data of the city of Shanghai and the results are very satisfying. © 2010 IEEE.

关键词： Traffic congestion

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A hole filling algorithm for medical imaging

A hole filling algorithm for medical imaging

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2nd International Conference on Information Science and Engineering, ICISE2010

作者： Guo, Lv Gao, Yonghui Li, Yin Yang, Jie Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781424480968

Surface integrity of 3D medical imaging is crucial for surgery simulation or virtual diagnoses. However, undesirable holes often exist due to external damage on bodies or accessibility limitation on scanners. To bridge the gap, the paper proposes an algorithm of filling holes for 3D medical image data based on moving least squares (MLS) method. In the algorithm, medical data is classified into two types and procedure is designed according to the classification. The procedure consists of two steps, namely hole detection and hole completion. In completion part, the detected hole can be automatically filled by interpolation with known surrounding points. Moreover, a threshold is used to constrain the density of the completed surface, so the sampling rate on reconstructed area complies with the original data. We test our algorithm on two types of medical data and the results indicate a robust solution. © 2010 IEEE.

关键词： Medical imaging

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Two-dimensional neighborhood preserving embedding for face recognition

Two-dimensional neighborhood preserving embedding for face r...

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2010 2nd IEEE International Conference on Information Management and Engineering, ICIME 2010

作者： Du, Haishun Wang, Sheng Zhao, Jianjun Xu, Na Institute of Image Processing and Pattern Recognition Henan University Kaifeng Henan China

ISBN: (纸本)9781424452644

Neighborhood Preserving Embedding (NPE) is a subspace learning algorithm, which has the ability of preserving local neighborhood structure on the data manifold. Though NPE has been applied in many domains of pattern recognition, it is a vector-based method and will be encountered the small size sample (SSS) problem when it is directly applied to face recognition. To address this problem, the popular method is to use PCA prior to performing NPE, but the pre-processing procedure using PCA could result in the loss of some important discriminatory information. In this paper, a novel method called two-dimensional neighborhood preserving embedding (2DNPE) is proposed to extract the features for face recognition. Extensive experiments are performed to test and evaluate the new method using ORL and Yale face database. The experimental results indicate that the 2DNPE method has better face recognition performance and more effective. © 2010 IEEE.

关键词： Face recognition

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Long distance target DOA estimation by MIMO sonar

Long distance target DOA estimation by MIMO sonar

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International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Jin, Yong Cheng, Guoqiang Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475004 China

ISBN: (纸本)9780769542256

A new DOA (direction of arrival) estimator based on MIMO sonar system is proposed to estimate the DOA of long distance targets. First, wideband orthogonal signals are sent out by transmitting sensors and the output of receiving sensors is decomposed into several narrow frequency bands using FFT. The covariance matrix of receiving signals can be expressed as the superposition of the covariance matrices of different frequency bands by exploiting the orthogonal relation of frequency components of the wideband signals. Next, narrowband MIMO method is used to produce the spatial spectrum of every frequency band. Finally, spatial spectrums of all frequency bands are averaged to get source DOAs. Simulations and pool experiment show that this new method produces lower resolution threshold and better estimation performance than traditional phased-array sonar. © 2010 IEEE.

关键词： Covariance matrix

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