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Mathematical Morphology in Image Processing Edited by Edward R Dougherty Newly Released for the 2026/2027 Academic Year Digital Resource
Discover Mathematical Morphology in Image Processing, edited by Edward R. Dougherty, a definitive guide to advanced image analysis techniques within the Optical Engineering series. This comprehensive resource covers foundational theories and practical applications of morphological operations such as erosion, dilation, opening, and closing for digital image enhancement and feature extraction. Ideal for students and professionals in computer vision, signal processing, and optical engineering, this newly released edition for the 2026/2027 academic year provides essential insights into geometric structures and pattern recognition algorithms.
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