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Titlebook: Image Analysis and Recognition; Second International Mohamed Kamel,Aurélio Campilho Conference proceedings 2005 Springer-Verlag Berlin Heid

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書目名稱Image Analysis and Recognition
副標題Second International
編輯Mohamed Kamel,Aurélio Campilho
視頻videohttp://file.papertrans.cn/462/461385/461385.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Image Analysis and Recognition; Second International Mohamed Kamel,Aurélio Campilho Conference proceedings 2005 Springer-Verlag Berlin Heid
描述ICIAR 2005, the International Conference on Image Analysis and Recognition, was the second ICIAR conference, and was held in Toronto, Canada. ICIAR is organized annually, and alternates between Europe and North America. ICIAR 2004 was held in Porto, Portugal. The idea of o?ering these conferences came as a result of discussion between researchers in Portugal and Canada to encourage collaboration and exchange, mainly between these two countries, but also with the open participation of other countries, addressing recent advances in theory, methodology and applications. TheresponsetothecallforpapersforICIAR2005wasencouraging.From295 full papers submitted, 153 were ?nally accepted (80 oral presentations, and 73 posters). The review process was carried out by the Program Committee m- bersandotherreviewers;allareexpertsinvariousimageanalysisandrecognition areas. Each paper was reviewed by at least two reviewers, and also checked by the conference co-chairs. The high quality of the papers in these proceedings is attributed ?rst to the authors,and second to the quality of the reviews provided by the experts. We would like to thank the authors for responding to our call, andwewholeheartedly
出版日期Conference proceedings 2005
關鍵詞3D; 3D imaging; Augmented Reality; biometrics; classifier systems; color analysis; computer vision; documen
版次1
doihttps://doi.org/10.1007/11559573
isbn_softcover978-3-540-29069-8
isbn_ebook978-3-540-31938-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

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978-3-540-29069-8Springer-Verlag Berlin Heidelberg 2005
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Image Analysis and Recognition978-3-540-31938-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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FCM with Spatial and Multiresolution Constraints for Image Segmentationge then in each level FCM parameters are computed under a neighborhood spatial constraint. The coarse membership functions propagate down to fine layers to improve segmentation accuracy. The algorithm is tested on both synthetic and multispectral images. Experimental results are presented, showing t
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Unsupervised Image Segmentation Using Contourlet Domain Hidden Markov Trees Modelused to capture the likelihood disparity of different texture features. A new context based fusion?model is given for preserve more interscale information in contourlet domain. The simulation results of synthetic mosaics and real images show that the proposed unsupervised segmentation algorithm repr
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