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Mobile robot localization under varying illumination

Mobile robot localization under varying illumination

引用

International Conference on Pattern recognition

作者： M. Jogan A. Leonardis H. Wildenauer H. Bischof Faculty of Computer and Information Science University of Ljubljana Ljubljana Slovenia Pattern Recognition and Image Processing Group Institute for Computer Aided Automation University of Technology Vienna Vienna Austria Institute for Computer Graphics and Vision Graz University of Technology Graz Austria

Methods for mobile robot localization that use eigenspaces of panoramic snapshots of the environment are in general sensitive to changes in the illumination of the environment. Therefore, we propose an approach which achieves a reliable localization under severe illumination conditions. The method uses gradient filtering of the eigenspace. After testing the approach on images obtained by a mobile robot, we show that it outperforms the standard eigenspace-based recognition method.

关键词： Mobile robots Lighting computer vision Filter bank image recognition Indoor environments Pattern recognition image processing computer graphics Information science

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Evaluation of diffusion techniques for improved vessel visualization and quantification in three-dimensional rotational angiography 4th

引用

4th International Conference on Medical image Computing and computer-Assisted Intervention, MICCAI 2001

作者： Meijering, Erik Niessen, Wiro Weickert, Joachim Viergever, Max Image Sciences Institute University Medical Center Utrecht Heidelberglaan 100 UtrechtNL-3584 CX Netherlands Computer Vision Graphics and Pattern Recognition Group Department of Mathematics and Computer Science University of Mannheim MannheimD-68131 Germany

ISBN: (纸本)3540426973

Three-dimensional rotational angiography (3DRA) is a promising imaging technique which yields high-resolution isotropic 3D images of vascular structures. Raw 3DRA images, however, usually suffer from a high noise level and the presence of other artifacts. For accurate visualization and quantification of vascular anomalies, noise reduction is therefore highly desirable. In this paper we analyze the effects of several linear and nonlinear filtering techniques for that purpose. From the results of in vitro experiments we conclude that edge-enhancing anisotropic diffusion is very suitable for mentioned tasks. However, in view of the computational requirements of this technique, the regularized isotropic nonlinear diffusion scheme may be considered a useful alternative. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Diffusion

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A comparative performance study of thresholding algorithms for particle images

A comparative performance study of thresholding algorithms f...

引用

2000年第16届世界计算机大会

作者： Luya Wang Weixing Wang Institute of Image Recognition and Computer Vision Hunan Normal University

A comparative performance study of eight global thresholding algorithms for particle images were *** the selected eight global thresholding algorithms,three of them were based on gray level histograms,and the remainin... 详细信息

关键词： BCV A comparative performance study of thresholding algorithms for particle images image

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A froth image segmentation algorithm

A froth image segmentation algorithm

引用

2000年第16届世界计算机大会

作者： Luya Wang Weixing Wang Institute of Image Recognition and Computer Vision Hunan Normal University

This paper describes a froth image segmentation *** order to determine bubble size,shape and texture information from the froth images,the images have to be *** of the large variation of the froth image patterns and quality,it is difficult to existing segmentation ***,we modified and combined different existing image segmentation algorithms to form a new segmentation algorithm for froth images. In the algorithm,we used and modified a thresholding algorithm to automatically detect maximum of bubbles,then perform morphological technique to growing bubble *** over-segmentation problem was resolved by a object merging algorithm based bubble shape *** the paper,three froth image segmentation results are demonstrated,which shows that the developed segmentation is reasonable for froth images.

关键词： A froth image segmentation algorithm image

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A comparative performance study of thresholding algorithms for particle images

A comparative performance study of thresholding algorithms f...

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： Luya Wang Weixing Wang Institute of Image Recognition and Computer Vision Hunan Normal University China

A comparative performance study of eight global thresholding algorithms for particle images were investigated. Of the selected eight global thresholding algorithms, three of them were based on gray level histograms, a... 详细信息

关键词： Histograms Optimized production technology image segmentation Probability distribution image recognition computer vision Stress Laplace equations Entropy Additive noise

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Froth image segmentation algorithms and their validation

Froth image segmentation algorithms and their validation

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： Weixing Wang Luya Wang Institute of Image Recognition and Computer Vision Hunan Normal University China

In mineral processing, froth characteristics are important for flotation results. To monitor the variation of froth characteristics, an optical system has been developed. In the flotation system, one important procedure for image processing and analysis is image segmentation. This paper presents four newly developed segmentation algorithms for froth images. Results of image segmentation were compared to manual segmentation results, and comparisons show that the newly developed algorithms work well for the tested froth images.

关键词： image segmentation image edge detection image analysis Testing image texture analysis Algorithm design and analysis Labeling Systems engineering and theory Machine vision image recognition

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Froth image segmentation algorithm

Froth image segmentation algorithm

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： Luya Wang Weixing Wang Institute of Image Recognition and Computer Vision Hunan Normal University Changsha China

This paper describes a froth image segmentation algorithm. In order to determine the bubble size, shape and texture information from the froth images, the images have to be segmented. Because of the large variation of the froth image patterns and quality, it is difficult to use the existing segmentation algorithm. Therefore, we modified and combined different existing image segmentation algorithms to form a new segmentation algorithm for froth images. In the algorithm, we used and modified a thresholding algorithm to automatically detect the maximum bubbles, then perform a morphological technique to growing bubble regions. The over-segmentation problem was resolved by an object merging algorithm based on bubble shape analysis. In the paper, three froth image segmentation results are demonstrated, which show that the developed segmentation algorithm is reasonable for froth images.

关键词： image segmentation Shape computer vision Merging Inspection Algorithm design and analysis Machine vision Optical computing computer aided manufacturing Production

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Froth image segmentation algorithms and their validation

Froth image segmentation algorithms and their validation

引用

2000年第16届世界计算机大会

作者： Weixing Wang Luya Wang Image Engineering & Vision System Ltd. Bjrnnsvgen 21113 47 StockholmSweden Institute of Image Recognition and Computer Vision Hunan Normal University Institute of Image Recognition and Computer Vision Hunan Normal University

In mineral processing,froth characteristics are important for flotation *** monitor the variation of froth characteristics,an optical system has been *** the flotation system,one important procedure for image processing and analysis is image *** paper presents four new developed segmentation algorithms for froth *** of image segmentation were compared to manual segmentation results,and comparison show that the new developed algorithms work well for the tested froth images.

关键词： Froth image segmentation algorithms and their validation image

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image Characterization for Segmentation

Image Characterization for Segmentation

引用

ICIG’2000 First International Conference on image and Graphics--image and Graphic Technology Toward 21st Century and Beyond

作者： Fredrik Bergholm Div. of Engineering Geology KTH Stockholm Sweden Institute of Image Recognition and Computer Vision Hunan Normal University China

This paper describes a'pre-segmentation process, which reminds of a kind of image coding. The purpose is to facilitate subsequent segmentation. The method is applied to bubble images.

关键词： segmentation, zipcode, bubbles

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Minimizing the topological structure of line images 7th

引用

7th Joint IAPR International Workshop on Structural and Syntactic Pattern recognition, SSPR 1998 and 2nd International Workshop on Statistical Techniques in Pattern recognition, SPR 1998

作者： Kropatsch, Walter G. Burge, Mark Vienna University of Technology Institute of Automation 183/2 Pattern Recognition and Image Processing Group Treitlstr.3 WienA-1040 Austria Johannes Kepler University Institute of Systems Science Computer Vision Laboratory LinzA-4040 Austria

ISBN: (纸本)3540648585

We present a new algorithm based on Dual Graph Contraction (DGC) to transform the Run Graph into its Minimum Line Property Preserving (MLPP) form which, when implemented in parallel, requires O(log(longestcurve)) steps. A MLPP graph of a line image compliments the structural information in geometric graph representations like the run graph. Using such a graph and its dual, line image analysis systems can efficiently detect topological features like loops and holes and make use of relations like containment. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Topology

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