| 书目名称 | Mathematical Morphology and Its Applications to Image and Signal Processing | | 编辑 | Petros Maragos,Ronald W. Schafer,Muhammad Akmal Bu | | 视频video | | | 丛书名称 | Computational Imaging and Vision | | 图书封面 |  | | 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 | | 关键词 | Diffusion; Erosion; Interpolation; LED; Opening; Region Growing; filter; image analysis; image processing; in | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4613-0469-2 | | isbn_softcover | 978-1-4613-8063-4 | | isbn_ebook | 978-1-4613-0469-2Series ISSN 1381-6446 | | issn_series | 1381-6446 | | copyright | Kluwer Academic Publishers 1996 |
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发表于 2025-3-21 17:40:43
