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International Conference on Document Analysis and recognition

作者： Martin Lettner Robert Sablatnig Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Austria

ISBN: (纸本)9781424445004

In this paper we propose a character segmentation method for multispectral images of ancient documents. Due to the low quality of the images the main idea of this study is to combine the multispectral behavior and contextual spatial information. Therefore we utilize a Markov random field model using the spectral information of the images and stroke properties to include spatial dependencies of the characters. Since the stroke properties and the Gaussian parameters for the imaging model are evaluated automatically the proposed segmentation method requires no training phase. We compared the method to state of the art character segmentation methods and demonstrate the effectiveness of combining spectral and spatial features for the segmentation of characters in multispectral images.

关键词： image segmentation Multispectral imaging image analysis Color Independent component analysis Text analysis Character recognition pattern recognition Markov random fields pattern analysis

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A point-pattern matching method based on maximal subset of one-to-one mapping

A point-pattern matching method based on maximal subset of o...

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MIPPR 2009 - pattern recognition and Computer Vision: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Hu, Jing Zhang, Tian-Xu Institute for Pattern Recognition and AI Hua Zhong University of Science and Technology Wuhan 430074 China Key Lab. of Education Ministry for Image Processing and Intelligent Control Hua Zhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478078

This paper presents a new affine registration approach for planar point pattern matching. A process of parameter space clustering is implemented to confirm a one-to-one mapping between the maximal subsets of feature point sets in images. For a best performance, a coarse parameter space and a fine parameter space are used for vectors comparison. Experiments show that the method can produce positive results from a small number of feature points and intensive noise. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Affine transforms

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Color-based and context-aware skin detection for online video annotation

Color-based and context-aware skin detection for online vide...

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IEEE Workshop on Multimedia Signal processing

作者： Christian Liensberger Julian Stottinger Martin Kampel Institute of Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Austria

By analyzing the low level features of images only, skin detection in visual data cannot be solved. To compensate for this major drawback of many approaches, we combine a state of the art recognition algorithm with color model based skin detection. Detected faces in videos are the basis for adaptive skin-color models, which are propagated throughout the video, providing a more precise and accurate model in its recognition performance than pure color based approaches. The approach is able to run in real-time and does not need prior data-specific training. We received challenging online videos from an online service provider and use additional videos from public Web platforms covering a grand variety of different skin-colors, illumination circumstances, image quality and difficulty levels. In an extensive evaluation we estimated the best performing parameters and decide on the best model propagation techniques. We show that adaptive model propagation outperforms static low level detection.

关键词： Skin Face detection image analysis Lighting Internet Automation pattern recognition image processing image color analysis pattern analysis

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Needle segmentation in 3D ultrasound images based on phase-grouping

Needle segmentation in 3D ultrasound images based on phase-g...

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MIPPR 2009 - Medical Imaging, Parallel processing of images, and Optimization Techniques: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Zhao, Siying Qiu, Wu Ming, Yuchi Ding, Mingyue Institute of Pattern Recognition and Artificial Intelligence Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China Institute of Pattern Recognition and Artificial Intelligence Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Hubei 10086 China School of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074 China School of Life Science and Technology Huazhong University of Science and Technology Hubei 10086 China

ISBN: (纸本)9780819478085

Three Dimensional (3D) ultrasound images can provide spatial information to help doctors locate the needle position precisely in ultrasound-guided surgery. In this paper, we present a method called "3D Phase-grouping" to segment the needle inside the patient. The method is an extension from 2D phase-grouping to the 3D case via a new mathematic model-the outer products of adjacent orientation vectors. Firstly, the voxels with the same outer products of the gradient orientation vectors of the adjacent points are divided into Line Support Regions (LSR). Then, the needle is extracted with the 3D Least-Squares line fitting method in the maximal LSR. Synthetic and 3D ultrasound phantom data were tested. The segmentation results were evaluated by the angular deviation, position deviation and computational time. Compared with the 3D Hough transform, 3D Phase-Grouping is more accurate and faster without using pre-information. The computational complexity and robustness of the algorithm remain to be our future research topics. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Needles

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Path Integral Based Contour Extraction Method Using Multilevel Metropolis Sampling

Path Integral Based Contour Extraction Method Using Multilev...

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7th International Conference on Photonics and Imaging in Biology and Medicine

作者： Yangguang, Sun Tian, Lan Xiaowei, Fu Mingyue, Ding Institute of Pattern Recognition and Artificial Intelligence Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China School of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819475398

In this paper we proposed a novel path integral method using multilevel Metropolis sampling to extract the contours of interested objects of medical images, which is a quantum statistical approach inspired by the essential characteristics of quantum. The implemented multilevel Metropolis sampling is a fast approach to the sampling problem and can be used to sample any distribution function and calculate all actions for the movements of quantum particle towards the position with high probability density likely to be accepted. Comparing with traditional deformable models based on classical mechanics which are sensitive to the initialization of contour and difficult to adapt topology changes of the contour, our work has the capability to break through the limitations of deformable models and makes the boundary extraction in high noise and low contrast of medical images possible. Experiments were performed with synthetic and medical images and the feasibility and potential of our method was demonstrated. © 2009 SPIE.

关键词： Distribution functions

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MULTISPECTRAL IMAGING FOR ANALYZING ANCIENT MANUSCRIPTS

MULTISPECTRAL IMAGING FOR ANALYZING ANCIENT MANUSCRIPTS

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European signal processing conference

作者： Martin Lettner Robert Sablatnig Pattern Recognition and Image Processing Group Institute of Computer Aided Automation Vienna University of Technology 1040 Vienna Austria

ISBN: (纸本)9781617388767

In this paper we propose a method for segmenting characters in multispectral images of ancient documents. Due to the low quality of the document images the main idea of our study is to combine the multispectral behavior and contextual spatial information. Therefore we utilize a Markov Random Field model using the spectral information of the images and stroke properties to include spatial dependencies of the characters. The whole process is parameter free since we calculate the stroke properties and the Gaussian parameters for the imaging model automatically. The study shows the effectiveness of using multispectral data for a computer aided analysis of ancient text documents. We compare the results of the proposed segmentation method to traditional methods based on color images as well as gray level images.

关键词： MULTISPECTRAL Computer aided analysis grayscale images Imaging Spatial Dependency image information color image field simulation

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A statistical approach to contour extraction based on quantum mechanics

A statistical approach to contour extraction based on quantu...

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Medical Imaging 2009 - image processing

作者： Sun, Yangguang Lan, Tian Fu, Xiaowei Ding, Mingyue Institute of Pattern Recognition and Artificial Intelligence Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China School of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819475107

Contour extraction is a key issue in many medical applications. A novel statistical approach based on quantum mechanics to extract contour of the interested object of medical images was proposed in this paper. The natures of quantum statistical concepts such as the quantum discontinuity and the wave function correspond to the discrete and gray possibility of an image respectively. Contour extraction will be performed by the quantum particle movement, where the particle will be moved forward to the position with high probability density edges in image potential field. Experimental results with medical images demonstrated that the proposed approach has the capability to extract contours with arbitrary initialization and handle topology changes as well as both the inner and outer contours by a single initialization. Keywords: Statistical approach, contour extraction, path integral, quantum mechanics. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Medical applications

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Independent component analysis algorithm through solving gradient equation combined with kernel density estimation

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Journal of Shanghai Jiaotong University (Science) 2009年第2期14 E卷 204-209页

作者： Xue, Yun-Feng Wang, Yu-Jia Yang, Jie Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China Department of Automation Shanghai Jiaotong University Shanghai 200240 China

A new algorithm for linear instantaneous independent component analysis is proposed based on maximizing the log-likelihood contrast function which can be changed into a gradient equation. An iterative method is introduced to solve this equation efficiently. The unknown probability density functions as well as their first and second derivatives in the gradient equation are estimated by kernel density method. Computer simulations on artificially generated signals and gray scale natural scene images confirm the efficiency and accuracy of the proposed algorithm. Copyright.

关键词： Blind source separation

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A novel method for boundary condition computation in soft tissue deformation

A novel method for boundary condition computation in soft ti...

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2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009

作者： Shengzheng, Wang Jie, Yang Kai, Xie Merchant Marine College Shanghai Maritime University 200135 Shanghai China Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong University 200240 Shanghai China Methodist Hospital Research Institute Cornell University Houston TX 77030 United States

ISBN: (纸本)9780769535074

Simulating the soft tissue deformation based on bone-related planning is one of the most difficult issues in generating realistic motion of soft tissues. The difficulty of this problem arises from unclear boundary conditions. In facial soft tissue deformation, the boundary conditions of the finite element modeling are related to the bone movements. In order to better map the bone movements to the soft tissue model, a fast and robust computational strategy for boundary conditions is presented in this paper. First, a collision detection algorithm is employed to query contact position after repositioning of bones. Then, an improved 3D discrete distance field algorithm is proposed to perform imposed displacement computation of contact vertices. Finally, boundary conditions are calculated in terms of the imposed displacements. This approach can automatically handle boundary conditions of the complex geometrical modeling without prior assumption or knowledge about the position of contacts. The effectiveness of our method is demonstrated on complex soft tissue deformation. © 2008 IEEE.

关键词： Boundary conditions

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Spatio-temporal fusion for reliable moving vehicle classification in wireless sensor networks

Spatio-temporal fusion for reliable moving vehicle classific...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Chunting Liu Hong Huo Tao Fang Deren Li Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China LIESMARS Wuhan University of China Wuhan China

One of the important tasks in sensor networks is classifying moving vehicles. Fusion of large amount of sensor measurements can improve network performance and reduce the consumption of sensor network resource. We study using continuous measurements of multiple sensor nodes to improve the classification performance by spatio-temporal fusion and fault detection. Time series decisions of single sensor node are aggregated to make a reliable classification estimation. A fusion center combines local classification decisions and evaluates the correctness of these decisions. A correctness status is sent back to each sensor node. Based on the status, sensor nodes can adjust their temporal fusion result. Simulation results demonstrate the validity of our method.

关键词： Vehicles Wireless sensor networks Sensor fusion Fault detection Sensor phenomena and characterization Signal processing algorithms Collaboration Computational modeling Interference Cybernetics

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