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Titlebook: Mathematical Morphology and Its Applications to Signal and Image Processing; 12th International S Jón Atli Benediktsson,Jocelyn Chanussot,H

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書目名稱Mathematical Morphology and Its Applications to Signal and Image Processing
副標(biāo)題12th International S
編輯Jón Atli Benediktsson,Jocelyn Chanussot,Hugues Tal
視頻videohttp://file.papertrans.cn/627/626471/626471.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Mathematical Morphology and Its Applications to Signal and Image Processing; 12th International S Jón Atli Benediktsson,Jocelyn Chanussot,H
描述This book contains the thoroughly refereed proceedings of the 12th International Symposium on Mathematical Morphology, ISMM 2015 held in Reykjavik, Iceland, in May 2015. The 62 revised full papers were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on evaluations and applications; hierarchies; color, multivalued and orientation fields; optimization, differential calculus and probabilities; topology and discrete geometry; and algorithms and implementation.
出版日期Conference proceedings 2015
關(guān)鍵詞Image analysis; graph algorithms; graph theory; image processing; mathematical optimization
版次1
doihttps://doi.org/10.1007/978-3-319-18720-4
isbn_softcover978-3-319-18719-8
isbn_ebook978-3-319-18720-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
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978-3-319-18719-8Springer International Publishing Switzerland 2015
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Automatic Threshold Selection for Profiles of Attribute Filters Based on Granulometric Characteristiwhich allows us to avoid the filtering steps usually required prior the threshold selection, making the process computationally effective. The experimental analysis performed on two real remote sensing images shows the effectiveness of the proposed approach in providing representative and non-redundant multi-level image decompositions.
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Hourglass Shapes in Rank Grey-Level Hit-or-miss Transform for Membrane Segmentation in HER2/neu Imaglizations. The mean absolute error of continuity estimation of the stained membrane between the expert and our system results was 6.1% at standard deviation of 3.2%. These results confirm high efficiency of the proposed solution.
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