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Titlebook: Image Analysis and Recognition; 5th International Co Aurélio Campilho,Mohamed Kamel Conference proceedings 2008 Springer-Verlag Berlin Heid

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书目名称Image Analysis and Recognition
副标题5th International Co
编辑Aurélio Campilho,Mohamed Kamel
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Image Analysis and Recognition; 5th International Co Aurélio Campilho,Mohamed Kamel Conference proceedings 2008 Springer-Verlag Berlin Heid
描述This book constitutes the refereed proceedings of the 5th International Conference on Image Analysis and Recognition, ICIAR 2008, held in Póvoa do Varzim, Portugal, in June 2008. The 110 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 226 submissions. The papers are organized in topical sections on image restoration and enhancement, image and video segmentation, non-linear image processing, image and video coding and encryption, indexing and retrieval, computer vision, feature extraction and classification, shape representation and matching, object recognition, character recognition, texture and motion analysis, tracking, biomedical image analysis, biometrics, face recognition, and a special session on recent advances in multimodal biometric systems and applications.
出版日期Conference proceedings 2008
关键词3D imaging; JPEG 2000; approximation; biomedical imaging; biometrics; classification; classifier systems; c
版次1
doihttps://doi.org/10.1007/978-3-540-69812-8
isbn_softcover978-3-540-69811-1
isbn_ebook978-3-540-69812-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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0302-9743 voa do Varzim, Portugal, in June 2008. The 110 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 226 submissions. The papers are organized in topical sections on image restoration and enhancement, image and video segmentation, non-linear image pro
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Geometrical Multiscale Noise Resistant Method of Edge Detectionage also better reflecting the image geometry than the other well known methods. Thanks to that the new method can be used as the first step in high performance object recognition techniques. The experiments confirmed high effectiveness of the method in edge detection including noisy images.
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Conference proceedings 2008g, object recognition, character recognition, texture and motion analysis, tracking, biomedical image analysis, biometrics, face recognition, and a special session on recent advances in multimodal biometric systems and applications.
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