Nonlinear Filters For Image Processing
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Nonlinear Filters for Image Processing
This text covers key mathematical principles and algorithms for nonlinear filters used in image processing. Readers will gain an in-depth understanding of the underlying mathematical and filter design methodologies needed to construct and use nonlinear filters in a variety of applications. The 11 chapters explore topics of contemporary interest as well as fundamentals drawn from nonlinear filtering's historical roots in mathematical morphology and digital signal processing. This book examines various filter options and the types of applications for which they are best suited. The presentation is rigorous, yet accessible to engineers with a solid background in mathematics.
Fundamentals of Electronic Image Processing
This text is aimed at practicing engineers and scientists who need to understand the fundamentals of image processing theory and algorithms to perform their technical tasks. A variety of example images are used to help readers' understanding of how particular image processing algorithms work.
An Introduction to Nonlinear Image Processing
From a strict semantic point of view, nonlinear image processing encompasses all image processing that is not based on linear operators; however, from a practical, evolutionary point of view, the name itself is usually associated with the study of nonlinear filters, mainly the deterministic and nondeterministic analysis and design of logic-based operators. This Tutorial Text volume explores logic-based operators with emphasis on representation, design, and statistical optimization of nonlinear filters.