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

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書(shū)目名稱(chēng)Mathematical Morphology and Its Applications to Image Processing影響因子(影響力)




書(shū)目名稱(chēng)Mathematical Morphology and Its Applications to Image Processing影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Mathematical Morphology and Its Applications to Image Processing網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Mathematical Morphology and Its Applications to Image Processing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Mathematical Morphology and Its Applications to Image Processing被引頻次




書(shū)目名稱(chēng)Mathematical Morphology and Its Applications to Image Processing被引頻次學(xué)科排名




書(shū)目名稱(chēng)Mathematical Morphology and Its Applications to Image Processing年度引用




書(shū)目名稱(chēng)Mathematical Morphology and Its Applications to Image Processing年度引用學(xué)科排名




書(shū)目名稱(chēng)Mathematical Morphology and Its Applications to Image Processing讀者反饋




書(shū)目名稱(chēng)Mathematical Morphology and Its Applications to Image Processing讀者反饋學(xué)科排名

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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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貪心

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.

設(shè)想

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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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jarring

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.