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Titlebook: Image Analysis and Recognition; 11th International C Aurélio Campilho,Mohamed Kamel Conference proceedings 2014 Springer International Publ

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發(fā)表于 2025-3-21 17:54:26 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Image Analysis and Recognition
副標題11th International C
編輯Aurélio Campilho,Mohamed Kamel
視頻videohttp://file.papertrans.cn/462/461399/461399.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Image Analysis and Recognition; 11th International C Aurélio Campilho,Mohamed Kamel Conference proceedings 2014 Springer International Publ
描述The two volumes LNCS 8814 and 8815 constitute the thoroughly refereed proceedings of the 11th International Conference on Image Analysis and Recognition, ICIAR 2014, held in Vilamoura, Portugal, in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 177 submissions. The papers are organized in the following topical sections: image representation and models; sparse representation; image restoration and enhancement; feature detection and image segmentation; classification and learning methods; document image analysis; image and video retrieval; remote sensing; applications; action, gestures and audio-visual recognition; biometrics; medical image processing and analysis; medical image segmentation; computer-aided diagnosis; retinal image analysis; 3D imaging; motion analysis and tracking; and robot vision.
出版日期Conference proceedings 2014
關(guān)鍵詞adaptive classification; automated image processing; biomedical imaging; classification; clustering; deep
版次1
doihttps://doi.org/10.1007/978-3-319-11755-3
isbn_softcover978-3-319-11754-6
isbn_ebook978-3-319-11755-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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Nerve Detection in Ultrasound Images Using Median Gabor Binary Patterne method was tested on 173 ultrasound images of the median nerve obtained from three patients. The results showed that the proposed approach achieves better accuracy than the original MBP, Gabor descriptor and other popular descriptors.
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