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Double-Row Cascade Labeling Algorithm for Hyper-Scale Issue

Procedia Engineering 2011年 15卷 4047-4051页

作者： Yebin Fan Hualong Zhao Department of Computer Science Huazhong University of Science and Technology National Key Laboratory of Science and Technology on Multi-Spectral Information Processing Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology

An efficient algorithm is presented to label the connected components in the case that the primary memory is smaller than the image data. Our algorithm uses only the memory of two image rows to label the huge image or any image larger than the available memory. The search path compression is a applied for improving the performance further. An extensive comparison with the state-of-art algorithms is proposed, both on random and real datasets. Our algorithm shows an impressive speedup, while the auxiliary memory is not required at all comparing with all competitors.

关键词： Connected components labeling page fault hyper-scalar union-find

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Overview of approaches for accelerating scale invariant feature detection algorithm

Overview of approaches for accelerating scale invariant feat...

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International Conference on Electric information and Control Engineering (ICEICE)

作者： Jing zhang Hongshi Sang Xubang Shen National Key Laboratory of Science and Technology on Multi-spectral Information Processing Institute for Pattern Recognition & Artificial Intelligence Huazhong University of Science and Technology Wuhan China

SIFT (Scale Invariant Feature Transform) is one of most popular approach for feature detection and matching. Many parallelized algorithms have been proposed to accelerate SIFT to apply into real-time systems. This paper divides the researches into three different categories, that is, optimizing parallel algorithms based on general purpose multi-core processors, designing customized multi-core processor dedicated for SIFT and implementing SIFT based FPGA (Field Programmable Gate Arrays). Overview of the three type researches and analysis of task-level parallelism are presented in this paper.

关键词： Feature extraction Pixel multicore processing Parallel algorithms Field programmable gate arrays

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A novel image distance based on high-order manifold approximation

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content technology and its Applications 2011年第11期5卷 126-133页

作者： Zhou, Hua Ding, Mingyue Cai, Chao The Institute for Pattern Recognition and Artificial Intelligence National Key Laboratory of Science and Technology on Multi-spectral Information Processing Huazhong University of Science and Technology China School of Life Science and Technology Key Laboratory of Education Ministry for Imaging Processing and Intelligence Control Huazhong University of Science and Technology China

Tangent distance measures image similarity in a manifold way and is specific for handwritten digit recognition. However, in tangent distance metric the transformation should be known a priori and nonlinear manifolds are only approximated by first-order tangent hyperplanes. We propose a new image distance metric - the high-order approximated manifold distance (HMD) which can overcome these defects. The intrinsic variables of image transformation are learned by a special manifold learning algorithm - Maximum Variance Unfolding (MVU). Then nonlinear manifold is approximated by curve surface based on higher-order Taylor expansion with respect to intrinsic variables. HMD is defined as the minimum distance between the approximated curved surfaces of manifolds, and can be directly utilized in distance-based classifiers for image recognition. A series of face recognition and handwritten digit recognition experiments demonstrate that HMD not only achieves higher recognition accuracy but also has more stability of classification than several state-of-the-art distance metrics.

关键词： Face recognition

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Intelligent ship-bridge collision avoidance algorithm research based on a modified Gaussian Mixture Model

Intelligent ship-bridge collision avoidance algorithm resear...

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International Conference on multimedia technology

作者： Wentao Zhang Yuanzhou Zheng National Key Laboratory of Science & Technology-on Multi-Spectral Information processing Huazhong University of Science and Technology Wuhan China School of Transportation Wuhan University of Technology Wuhan China

ISBN: (纸本)9781612847719

Faced with ever more serious security situation in bridge area, A Moving ship target detection and tracking method based on the complex background of the bridge area is presented . The background model based on a modified Gaussian Mixture Model .The algorithm upgrades the background model in real time, Foreground area is extracted by adaptive threshold method by marking each moving region in the binary image, the geometrical features parameters such as width ,height , centroid position and speed can be extracted, which lay the foundation for the analysis and track of moving. Ship motion situation calculation module based on visual geometry model, and calculates the movement state information of target ship's position in space coordinate, Ship's size, speed, heading etc. Collision risk prediction and collision avoidance maneuvering decision-making module combined ship real-time motion state information, and Bridge area ship's motion, introducing the collision risk to rank term, and early warning and collision avoidance maneuvering *** calculation of ship maneuvering and collision avoidance related distance parameter of bridge area, Introducing collision risk to rank terminology , Forming rationalization collision avoidance decisions, Thus reach the ship-bridge collision avoidance warning and precontrolling effect. Experimental results show that the proposed method is robust real-time and accurate.

关键词： Marine vehicles Cameras Bridges Collision avoidance Meteorology Object detection Adaptation models

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Research on Large-Scale Scene Infrared Simulation Based on Image Classification

Research on Large-Scale Scene Infrared Simulation Based on I...

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International Workshop on multi-Platform/multi-Sensor Remote Sensing and Mapping

作者： Lamei Zou Tianxu Zhang Wei Lv Guoqing Ao Institute of Pattern Recognition and Artificial Intelligence National key laboratory of science and technology on multi-spectral information processing technologies Huazhong University of Science and Technology Wuhan China

Vega has been widely used in Virtual Reality (VR) field. Vega infrared (IR) module can implement IR simulation, but Vega IR imaging simulation's general approach does not apply to large-scale scene's infrared simulation problem. This article deeps into large-scale scene IR image simulation through Vega infrared module based on visible image, the scene's corresponding Digital Elevation Model (DEM) data and targets' 3D model. A real time large-scale IR simulation system is successfully designed and realized in this paper. At the aspect of image classification, a coarse to fine k-means clustering method based on the consistency of image color is proposed. The proposed automatic texture material mapping method based on the development of Vega TMM tool provides a fast and convenient way for large-scale scene's IR simulation based on Vega IR module. And finally, results of the large-scale scene infrared simulation show the effectiveness of this method.

关键词： Solid modeling Image color analysis Materials Atmospheric modeling Image classification Three dimensional displays Pixel

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A new method of tank detection for SAR images

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Journal of Convergence information technology 2011年第11期6卷 441-449页

作者： Hu, Huozhen Tian, Jinwen Dai, Guangming Wang, Maocai National key laboratory of science and technology on multi-spectral information processing Huazhong university of Science and technology Wuhan Hubei China Department of Computer Science China university of Geosciences Wuhan Hubei 430074 China

The tank is one of important military targets. Tanks detection is the study focus of the synthetic aperture radar(SAR) image processing currently. But there may be many false alarms existed in the detection result with most of the traditional tank detection methods affected by the SAR speckle. A new method of tank detection for SAR images based on the features of SAR images is put forward by this paper. It uses Gauss low-pass filtering to smooth the original image and the geometric active contour model based on prediction theory metric to realize automatic segmentation. It detects candidate targets by removing little connected regions. Finally, it further removes the false alarm targets based on the grey characteristic of the shadow regions. Experimental results indicate that the method can effectively and rightly detect tanks of SAR images. Moreover, it is insensitive to the initial contour.

关键词： Synthetic aperture radar

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Intelligent ship-bridge collision avoidance decision-making system research based on video information detection

Intelligent ship-bridge collision avoidance decision-making ...

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International Conference on Computer Science and Service System (CSSS)

作者： Yuanzhou Zheng Wentao Zhang Weiguo Wu Haixiang Xu School of Transportation Wuhan University of Technology Wuhan China National Key Laboratory of Science & Technology-on Multi-Spectral Information processing Huazhong University of Science and Technology Wuhan China Key Laboratory of High Speed Engineering Ministry of Education Wuhan China

Devided the Collision-Decision system into 3 parts as ship motion detection Visual geometric model and ship's motion situation calculation and Collision forecast and control. Registration the image by using phase correlation algorithm based on the statistical information airspace of the background modeling method, compensate to the image offset, In image quality problem adopt image enhancement pretreatment, median filter and the image histogram equalization processing mode. Ship motion situation calculation module based on visual geometry model, and calculates the movement state information of target ship's postion in space coordinate, Ship's size, speed, heading etc. Collision risk prediction and collision avoidance manuevering decision-making module combined ship real-time motion state information, and Bridge area ship's motion, introducing the collision risk to rank term, and early warning and collision avoidance manuevering *** calculation of ship manuevering and collision avoidance related distance parameter of bridge area, Introducing collision risk to rank terminology, Forming rationalization collision avoidance decisions, Thus reach the ship-bridge collision avoidance warning and precontrolling intelligent interfacial effect.

关键词： Marine vehicles Collision avoidance Atmospheric modeling Laboratories Decision making Bridges information filters

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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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Intelligent ship-bridge collision avoidance decision-making system research based on video information detection

Intelligent ship-bridge collision avoidance decision-making ...

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2011 International Conference on Computer Science and Service System, CSSS 2011

作者： Zheng, Yuanzhou Zhang, Wentao Wu, Weiguo Xu, Haixiang School of Transportation Wuhan University of Technology Wuhan China National Key Laboratory of Science and Technology-on Multi-Spectral Information Processing Huazhong University of Science and Technology Wuhan China Key Laboratory of High Speed Engineering Ministry of Education Department Wuhan China

ISBN: (纸本)9781424497638

Divided the Collision-Decision system into 3 parts as ship motion detection, Visual geometric model and ship's motion situation calculation and Collision forecast and control. Registration the image by using phase correlation algorithm based on the statistical information - airspace of the background modeling method, compensate to the image offset, In image quality problem adopt image enhancement pretreatment, median filter and the image histogram equalization processing mode. Ship motion situation calculation module based on visual geometry model, and calculates the movement state information of target ship's position in space coordinate, Ship's size, speed, heading etc. Collision risk prediction and collision avoidance manuevering decision-making module combined ship real-time motion state information, and Bridge area ship's motion, introducing the collision risk to rank term, and early warning and collision avoidance manuevering decision-making. Through calculation of ship manuevering and collision avoidance related distance parameter of bridge area, Introducing collision risk to rank terminology, Forming rationalization collision avoidance decisions, Thus reach the ship-bridge collision avoidance warning and precontrolling intelligent interfacial effect. © 2011 IEEE.

关键词： Forecasting

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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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