9780792397335 - mathematical morphology and its applications to image and signal processing (computational imaging and vision, band 5) (5 Ergebnisse)
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Hardcover. Zustand: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Pages cornées. Edition 1996. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Dog-eared p…ages. Edition 1996. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Zustand: New. Mathematical morphology (MM) is a powerful methodology for the quantitative analysis of geometrical structures. It consists of a broad and coherent collection of theoretical concepts, nonlinear signal operators, and algorithms aiming at extracting, from .
Mathematical Morphology and its Applications to Image and Signal Processing
. Ed(s): Maragos, Petros; Butt, Muhammad Akmal; Schafer, Ronald W.
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Zustand: New. Provides the image analysis community with a sampling from the developments in the theoretical (deterministic and stochastic) and computational aspects of mathematical morphology and its applications to image and signal processing. This book consists of the papers presented at the ISMM'96. Editor(s): Maragos, Petro…s; Butt, Muhammad Akmal; Schafer, Ronald W. Series: Computational Imaging and Vision. Num Pages: 488 pages, black & white illustrations. BIC Classification: TTB; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 26. Weight in Grams: 863. . 1996. Hardback. . . . . Books ship from the US and Ireland.
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Buch. Zustand: Neu. Neuware - Mathematical morphology (MM) is a powerful methodology for the quantitative analysis of geometrical structures. It consists of a broad and coherent collection of theoretical concepts, nonlinear signal operators, and algorithms aiming at extracting, from images or other geometrical objects, informati…on related to their shape and size. 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 the Fontainebleau School of Mines in France. Originally it was applied to analyzing images from geological or biological specimens. However, its rich theoretical framework, algorithmic efficiency, easy implementability on special hardware, and suitability for many shape- oriented problems have propelled its widespread diffusion and adoption by many academic and industry groups in many countries as one among the dominant image analysis methodologies. The purpose of Mathematical Morphology and its Applications to Image and Signal Processing is to provide the image analysis community with a sampling from the current developments in the theoretical (deterministic and stochastic) and computational aspects of MM and its applications to image and signal processing. The book consists of the papers presented at the ISMM'96 grouped into the following themes: Theory Connectivity Filtering Nonlinear System Related to Morphology Algorithms/Architectures Granulometries, Texture Segmentation Image Sequence Analysis Learning Document Analysis Applications.
