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Titlebook: Image Analysis; 19th Scandinavian Co Rasmus R. Paulsen,Kim S. Pedersen Conference proceedings 2015 Springer Nature Switzerland AG 2015 3D v

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書目名稱Image Analysis
副標(biāo)題19th Scandinavian Co
編輯Rasmus R. Paulsen,Kim S. Pedersen
視頻videohttp://file.papertrans.cn/462/461343/461343.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Image Analysis; 19th Scandinavian Co Rasmus R. Paulsen,Kim S. Pedersen Conference proceedings 2015 Springer Nature Switzerland AG 2015 3D v
描述This book constitutes the refereed proceedings of the 19th Scandinavian Conference on Image Analysis, SCIA 2015, held in Copenhagen, Denmark, in June 2015. The 45 revised papers presented were carefully reviewed and selected from 67 submissions. The contributions are structured in topical sections on novel applications of vision systems, pattern recognition, machine learning, feature extraction, segmentation, 3D vision to medical and biomedical image analysis.
出版日期Conference proceedings 2015
關(guān)鍵詞3D vision; Augmented reality; Color and multispectral image analysis; Computational imaging and graphic
版次1
doihttps://doi.org/10.1007/978-3-319-19665-7
isbn_softcover978-3-319-19664-0
isbn_ebook978-3-319-19665-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2015
The information of publication is updating

書目名稱Image Analysis影響因子(影響力)




書目名稱Image Analysis影響因子(影響力)學(xué)科排名




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書目名稱Image Analysis網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Image Analysis被引頻次學(xué)科排名




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Image Analysis978-3-319-19665-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Conference proceedings 20152015. The 45 revised papers presented were carefully reviewed and selected from 67 submissions. The contributions are structured in topical sections on novel applications of vision systems, pattern recognition, machine learning, feature extraction, segmentation, 3D vision to medical and biomedical image analysis.
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Texture Removal Preserving Edges by Diffusionter followed by a diffusion process designed to preserve object contours. This approach lies in associating a descriptor, capable of classifying each pixel as a texture pixel, a homogenous region pixel or an edge pixel, with an anisotropic edge detector serving to define two directions of the edges
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Oriented Shape Index Histograms for Cell Classificationstograms. The orientation of the shape index is reminiscent but not equal to gradient orientation which is widely used for feature description. We evaluate our new feature descriptor using a public dataset consisting of HEp-2 cell images from indirect immunoflourescence lighting. Our results show th
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A Framework for Articulated Hand Pose Estimation and Evaluationods for hand segmentation and inference of hand postures. We further propose a new approach for the segmentation and extend existing convolutional network based inference methods. Additionally, we created a new dataset that consists of a synthetically generated training set and accurately annotated
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