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Titlebook: Mathematical Morphology and Its Applications to Image Processing; Jean Serra,Pierre Soille Book 1994 Springer Science+Business Media Dordr

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發(fā)表于 2025-3-21 17:20:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Mathematical Morphology and Its Applications to Image Processing
編輯Jean Serra,Pierre Soille
視頻videohttp://file.papertrans.cn/627/626468/626468.mp4
叢書(shū)名稱(chēng)Computational Imaging and Vision
圖書(shū)封面Titlebook: Mathematical Morphology and Its Applications to Image Processing;  Jean Serra,Pierre Soille Book 1994 Springer Science+Business Media Dordr
描述Mathematical morphology (MM) is a theory for the analysis ofspatial structures. It is called morphology since it aims at analysingthe shape and form of objects, and it is mathematical in the sensethat the analysis is based on set theory, topology, lattice algebra,random functions, etc. .MM is not only a .theory., but also a powerful image analysis.technique.. The purpose of the present book is to provide theimage analysis community with a snapshot of current theoretical andapplied developments of MM. The book consists of forty-fivecontributions classified by subject. It demonstrates a wide range oftopics suitedto the morphological approach. .
出版日期Book 1994
關(guān)鍵詞Lattice; algebra; algorithm; coding; filtering; image analysis; image processing; mathematical morphology; r
版次1
doihttps://doi.org/10.1007/978-94-011-1040-2
isbn_softcover978-94-010-4453-0
isbn_ebook978-94-011-1040-2Series ISSN 1381-6446
issn_series 1381-6446
copyrightSpringer Science+Business Media Dordrecht 1994
The information of publication is updating

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發(fā)表于 2025-3-21 22:41:22 | 只看該作者
https://doi.org/10.1007/978-94-011-1040-2Lattice; algebra; algorithm; coding; filtering; image analysis; image processing; mathematical morphology; r
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Introduction,erra at the Ecole des Mines de Paris (refer to Appendix A). It is called ‘Morphology’ since it aims at analysing the shape and form of objects. It is mathematical in the sense that the analysis is based on set theory, topology, lattice algebra, random functions, etc.
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Morphological Segmentation of Image Sequences,human eye characteristics. Mathematical Morphology, dealing with geometrical features is a well suited technique for segmentation purposes. This paper presents a method to segment image sequences, first step of an object-oriented compression system, based on Mathematical Morphology.
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發(fā)表于 2025-3-23 09:19:35 | 只看該作者
Critical Morphological Sampling and Its Applications to Image Coding,pling grid could produce an unbounded reconstruction error (in a Hausdorff sense). We use the theorem to design a Morphological Pyramid Coder, similar to a Laplacian Pyramid Coder. The results not only are superior to the Laplacian Pyramid, but are found to be competitive with more complex linear coders, like the DCT-based JPEG.
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