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OverviewThis text deals with a fast growing research area. The development of the subject springs from two factors: the great expansion of nonlinear methods applied to problems in imaging and vision, and the degree to which nonlinear approaches are both using and fostering new developments in diverse areas of mathematics. It should be of interest to people working in areas of applied mathematics, as well as researchers in computer vision. It is an edited volume of original research, and has been published as a special issue of ""The Journal of Mathematical Imaging and Vision"" (Vol 2, Issue 2/3) Full Product DetailsAuthor: Edward R. Dougherty , Jaakko AstolaPublisher: Springer Imprint: Springer Edition: Reprinted from JOURNAL OF MATHEMATICAL IMAGING AND VISION, 2:2/3, 1993 Dimensions: Width: 21.00cm , Height: 1.20cm , Length: 27.90cm Weight: 1.260kg ISBN: 9780792393146ISBN 10: 0792393147 Pages: 176 Publication Date: 31 December 1992 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsStatistical Properties, Fixed Points, and Decomposition with WMMR Filters.- Asymptotic Behavior of Morphological Filters.- Nonlinear Filtering Structure for Image Smoothing in Mixed-Noise Environments.- Root-Signal Sets of Morphological Filters and their Use in Variable-Length BTC Image Coding.- Unification of Nonlinear Filtering in the Context of Binary Logical Calculus, Part I: Binary Filters.- Unification of Nonlinear Filtering in the Context of Binary Logical Calculus, Part II: Gray-Scale Filters.- Morphological Analysis of Discrete Random Shapes.- Inverse Problems for Granulometries by Erosion.- Design of a Multitask Neurovision Processor.- Wilson-Cowan Neural-Network Model in Image Processing.- Clustering Properties of Hierarchical Self-Organizing Maps.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |