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Titlebook: Mathematical Morphology and Its Applications to Image and Signal Processing; Petros Maragos,Ronald W. Schafer,Muhammad Akmal Bu Book 1996

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書目名稱Mathematical Morphology and Its Applications to Image and Signal Processing
編輯Petros Maragos,Ronald W. Schafer,Muhammad Akmal Bu
視頻videohttp://file.papertrans.cn/627/626474/626474.mp4
叢書名稱Computational Imaging and Vision
圖書封面Titlebook: Mathematical Morphology and Its Applications to Image and Signal Processing; Petros Maragos,Ronald W. Schafer,Muhammad Akmal Bu Book 1996
描述Mathematical morphology (MM) is a powerful methodology for thequantitative analysis of geometrical structures. It consists of abroad and coherent collection of theoretical concepts, nonlinearsignal operators, and algorithms aiming at extracting, from images orother geometrical objects, information related to their shape andsize. Its mathematical origins stem from set theory, lattice algebra,and integral and stochastic geometry. .MM was initiated in the late 1960s by G. Matheron and J. Serra at theFontainebleau School of Mines in France. Originally it was applied toanalyzing images from geological or biological specimens. However, itsrich theoretical framework, algorithmic efficiency, easyimplementability on special hardware, and suitability for many shape-oriented problems have propelled its widespread diffusion and adoptionby many academic and industry groups in many countries as one amongthe dominant image analysis methodologies. .The purpose of .Mathematical Morphology and its Applications toImage. .and Signal Processing. is to provide the image analysiscommunity with a sampling from the current developments in thetheoretical (deterministic and stochastic) and computational aspe
出版日期Book 1996
關(guān)鍵詞Diffusion; Erosion; Interpolation; LED; Opening; Region Growing; filter; image analysis; image processing; in
版次1
doihttps://doi.org/10.1007/978-1-4613-0469-2
isbn_softcover978-1-4613-8063-4
isbn_ebook978-1-4613-0469-2Series ISSN 1381-6446
issn_series 1381-6446
copyrightKluwer Academic Publishers 1996
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The Generalized Tailor ProblemThe so-called ‘Tailor Problem’ concerns putting a number of sets within another set by translation, such that the translated sets do not overlap. In this paper we consider a generalization of this problem in which also rotations of the sets are allowed.
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Introductionllection of theoretical concepts, nonlinear signal operators, and algorithms aiming at extracting from images or other geometrical objects information related to their shape and size. Its mathematical origins stem from set theory, lattice algebra, and integral and stochastic geometry.
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An Attribute-Based Approach to Mathematical Morphologyation on grey-scale images. The use of non-increasing-shape attributes is advocated because they allow the use of shape descriptors such as compactness and eccentricity to be applied to transform grey-scale images. Applications are then given to illustrate the proposed operators.
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