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A practical surface reconstruction algorithm for very large medical datasets

A practical surface reconstruction algorithm for very large ...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Zhao, MC Tian, J Li, GM He, HG Chinese Acad Sci Inst Automat Key Lab Complex Syst & Intelligence Sci Med Image Proc Grp Beijing 100080 Peoples R China

ISBN: (纸本)0819451819

In this paper a practical surface reconstruction algorithm is proposed to efficiently process very large medical dataset in general PC. By considering the conflict between memory consumption and traversal speed, we restrict the traditional surface tracking in single layer and thus get a better trade-off between them. We also use a compression scheme to store the generated mesh, which decrease the memory requirement considerably. For efficient rendering, we employ a triangle strips generation algorithm to decode directly the com-pressed mesh into triangle strip. The experimental results tested on visible man fresh CT dataset show that the proposed algorithm is very efficient in both extracting and rendering phase.

关键词： surface reconstruction visualization graphics algorithrns

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Segmentation of colonscopic images based on the fusion of multiple features

Segmentation of colonscopic images based on the fusion of mu...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Xia, SR Zhu, DQ Lou, XM Zhou, LP Zhang, GX Zhejiang Univ Dept Biomed Engn Hangzhou Peoples R China

ISBN: (纸本)0819451819

A new algorithm for segmenting color colonscopic images by fusing color, brightness, spatial distance and texture information is presented in this paper. It makes the fractal dimension (FD) as the measurement for texture feature in images and applies a stochastic clustering algorithm that uses pairwise similarity of elements. The clustering algorithm that is based on a new graph theoretical algorithm for the sampling of cuts in graphs, can obtain the optimal number of clusters automatically. The complexity of our method is lower, and its stochastic nature makes it robust against noise. More than 40 colonoscopic images have been used to demonstrate the effectiveness of this new algorithm.

关键词： colonscopic image segmentation multiple features fusion fractal dimension pairwise similarity of elements stochastic clustering

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Dynamical multi-objective optimization evolutionary algorithm

Dynamical multi-objective optimization evolutionary algorith...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Xiong, SW Li, F Wang, W Feng, C Wuhan Univ Technol Dept Comp Technol Wuhan 430070 Peoples R China

ISBN: (纸本)0819451819

A dynamical multi-objective evolutionary algorithm (DMOEA) is proposed. It is the first study of the dynamical evolutionary algorithm (DEA) in multi-objective optimization problems. All individuals called as particles in a population evolve through a new selection mechanism. We combine the selection mechanism in DEA and the elitists strategy in existing evolutionary multi-objective optimization algorithms in DMOEA. The performance of DMOEA has been analyzed in comparison with SPEA2. The experimental results show that DMOEA clearly outperforms SPEA2 for the whole benchmark set. Moreover, a better convergence is sometimes observed in DMOEA for some functions of the benchmark set. The numerical experiment results demonstrate that the proposed method can rapidly converge to the Pareto optimal front and spread widely along the front.

关键词： dynamical evolutionary algorithm multi-objective optimization image manipulation

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Deformable image Registration Using Improved Hybrid Elastic model

Deformable Image Registration Using Improved Hybrid Elastic ...

引用

third international symposium on multispectral image processing and pattern recognition

作者： Chang, Xiao-Gang Cai, Zhi-Feng Jaeger, M. Lu, Han-Qing Institute of Automation Chinese Academy of Sciences Beijing 100080 China LIAMA Chinese Academy of Sciences Beijing 100080 China

This paper present an approach based on improved hybrid elastic model for deformable image registration. This method utilizes the linear spring net model for correspondence, and the thin-plate spline for non-rigid mapping. Compared with the original model, this improved method uses not only the intensity information, but also the weighted gray level histogram and the image gradient for similarity measurement. A multi-resolution strategy is involved to decrease the computing complexity and to increase the precision. Some experiments are performed on both synthetic and segmented medical images.

关键词： image processing

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image classification supported by digital geomorphology model

Image classification supported by digital geomorphology mode...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Zhang, B Li, X Zhang, X Tong, QX Zheng, LF Chinese Acad Sci Inst Remote Sensing Applicat Beijing 100101 Chaoyang Dist Peoples R China

ISBN: (纸本)0819451819

In some complicated terrain area, such as loess plateau of China, it is very difficult to get higher accuracy of landuse classification only depending on the traditional spectral statistics methods, especially the image pixel size is much larger than the geomorphology units. In order to improve the image classification results, large scale relief map has been used to create the digital geomorphology model(DGM). DGM can be used to do the pixel unmixing works, specially reducing the influence of terrain shadow. Applying fuzzy mathernatics theory, the DGM has been used to correct the digital image classification result, so as to create more accurate landuse map. In addition, this method is also helpful to find some minor objects in low spatial resolution images.

关键词： remote sensing image digital geomorphology model classification

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image reconstruction of computer tomography from a few views based on a Gaussian machine

Image reconstruction of computer tomography from a few views...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Chen, SH Qing, W Hubei Univ Coll Phys & Elect Technol Wuhan 430062 Peoples R China

ISBN: (纸本)0819451819

A new reconstruction algorithm of computer tomography (CT) from a few views based on a neural network of Gaussian Machine (GM) is presented. The problem of image reconstruction is formulated as optimization under the criterion of maximum entropy, and a GM is then constructed to solve the optimization problem using simulated annealing technique with hyperbolic temperature adjustment. We demonstrate both the Simultaneous Algebraic Reconstruction Technique (SART) reconstruction of this image and the GM reconstruction using the same measured input data. The effect of noise in the projection data, projection angles and sample intervals are addressed. The results of numerical simulation show that this technique using the projection data obtained from four views with the projection angles 45degrees apart has fairly high accuracy (the average relative error is 0.03%) and good stability against noise.

关键词： Gaussian machine image reconstruction computer tomography neural network

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An Efficient Parallel Architecture for MPEG-4 Zerotree Encoder

An Efficient Parallel Architecture for MPEG-4 Zerotree Encod...

引用

third international symposium on multispectral image processing and pattern recognition

作者： Xu, Chao Shi, Qing-Yun Natl. Lab. on Machine Perception Peking University Beijing 100871 China

This paper presents a novel parallel hardware architecture for MPEG-4 zerotree encoder. Under the architecture, a parallel processing of multi bit-planes is fulfilled through a preprocess unit and multi-encoding units. The preprocess unit consists of mainly a bit-not-and and a bit-or logic circuits. It ensures sufficiently that efficient encoding in each bit-plane is performed independently. Each encoding unit uses a fast technique to assign symbols by taking advantage of MPEG-4 zerotree coding symbol alphabet, and to select valid data to output using a ZTR address buffer.

关键词： image compression

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Revisit to Omni-Rig sensors: what can be done with a non-rigid vision platform?

Revisit to Omni-Rig sensors: what can be done with a non-rig...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Hu, ML Sun, L Wei, S Anhui Univ Intelligent Comp & Signal Proc Lab Hefei 230039 Peoples R China

ISBN: (纸本)0819451819

We describe the principles of building a moving vision platform (a Rig) that once calibrated can thereon self-adjust to changes in its internal configuration and maintain an Euclidean representation of the 3D world using only projective measurements. The calibration paradigm is termed "Omni-Rig". We assume that after calibration the cameras may change critical elements of their configuration, including internal parameters and rotations. Theoretically we show that knowing only the relative positions between a set of cameras is sufficient for Euclidean calibration even varying focal length and unknown rotations. No other information of the world is required.

关键词： Cameras Calibration Computer vision technology Machine vision 3D image processing Sensors 3D metrology 3D modeling Reconstruction algorithms 3D vision

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3D reconstruction of industrial sheetmetal parts with hybrid point-line photogrammetry

3D reconstruction of industrial sheetmetal parts with hybrid...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Zhang, YJ Zhang, ZX Zhang, JQ Huazhong Univ Sci & Technol Coll Hydropower & Informat Engn Wuhan Peoples R China

ISBN: (纸本)0819451819

A new approach for three-dimensional reconstruction of industrial parts with non-metric image sequences and hybrid point-line photogrammetry is proposed. Non-metric image sequence and CAD-designed data are used as source of information. The strategy of our approach is to reconstruct the parts automatically with points and line segments extracted from imagery. Hybrid point-line photogrammetry is used to reconstruct sheetmetal parts accurately, and the reconstructed model can be used for visualization and inspection. The reconstruction system can run automatically and fastly, and the output of hybrid point-line photogrammetry is the final 3D geometric model of the part. Results of real images of several parts are very satisfying, which shows a promising potential in automatic 3D reconstruction of widely existed industrial parts mainly composed of points and lines.

关键词： image sequence least squares template matching hybrid point-line photogrammetry 3D reconstruction

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Automatic contour-based 3D terrain matching using wavelet transform

Automatic contour-based 3D terrain matching using wavelet tr...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Yu, QZ Tian, JW Jian, L Huazhong Univ Sci & Technol Educ Minist Key Lab Image Proc & Intelligence Control Inst Pattern Recognit & Artificial Intelligence Wuhan Peoples R China

ISBN: (纸本)0819451819

A novel contour-based 3D terrain matching method is presented in this paper. In the method, Iso-Elevation Contour Map (IECM), a compact feature-based representation, is proposed to represent the reference DEM and recovered DEM (REM) from real-time data to convert 3D terrain matching to contour-based matching. In the contour-based matching, a normalized wavelet descriptor, which is invariant to 2D rigid transformation, is employed to describe contours. A very fast contour-matching algorithm based on normalized wavelet descriptor is presented. The proposed matching method is robust and effective computation, and can achieve high location accuracy.

关键词： DEM 3D terrain matching REM IECM normalized wavelet descriptor normalized contour distance

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