Exceptionally comprehensive, this text covers both basic and advanced techniques in image processing and mathematical morphology. It goes beyond the technical to instruct readers on the fundamental theoretical framework required to understand as well as develop extensive advanced techniques. It includes image enhancement, edge detection and linking, order statistics morphology, regulated morphology, alternating sequential morphology, recursive morphology, soft morphology, fuzzy morphology, and sweep morphology. It also discusses practical applications, such as distance transformation, feature extraction, object representation and recognition, shape description, and shortest path planning. The principles are thoroughly illustrated with graphs and examples.
Exceptionally comprehensive, this text covers both basic and advanced techniques in image processing and mathematical morphology. It goes beyond the technical to instruct readers on the fundamental theoretical framework required to understand as well as develop extensive advanced techniques. It includes image enhancement, edge detection and linking, order statistics morphology, regulated morphology, alternating sequential morphology, recursive morphology, soft morphology, fuzzy morphology, and sweep morphology. It also discusses practical applications, such as distance transformation, feature extraction, object representation and recognition, shape description, and shortest path planning. The principles are thoroughly illustrated with graphs and examples.
Mathematical morphology is a powerful methodology for the processing and analysis of geometric structure in signals and images. This book contains the proceedings of the fifth International ...
The contributions appearing in this volume are a snapshot of the different topics that were discussed during the Second Conference "Mathematics and Image Processing" held at the University of Orléans...
The updated 2nd edition of this book presents a variety of image analysis applications, reviews their precise mathematics and shows how to discretize them. For the mathematical community, the book...
Mathematical Nonlinear Image Processing deals with a fast growing research area. The development of the subject springs from two factors: (1) the great expansion of nonlinear methods applied to ...
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