Image Processing and Mathematical Morphology: Fundamentals and Applications
Autor Frank Y. Shihen Limba Engleză Paperback – 7 iun 2017
Image Processing and Mathematical Morphology: Fundamentals and Applications is a comprehensive, wide-ranging overview of morphological mechanisms and techniques and their relation to image processing. More than merely a tutorial on vital technical information, the book places this knowledge into a theoretical framework. This helps readers analyze key principles and architectures and then use the author’s novel ideas on implementation of advanced algorithms to formulate a practical and detailed plan to develop and foster their own ideas. The book:
- Presents the history and state-of-the-art techniques related to image morphological processing, with numerous practical examples
- Gives readers a clear tutorial on complex technology and other tools that rely on their intuition for a clear understanding of the subject
- Includes an updated bibliography and useful graphs and illustrations
- Examines several new algorithms in great detail so that readers can adapt them to derive their own solution approaches
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Specificații
ISBN-13: 9781138112285
ISBN-10: 1138112283
Pagini: 439
Ilustrații: 229
Dimensiuni: 156 x 234 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1138112283
Pagini: 439
Ilustrații: 229
Dimensiuni: 156 x 234 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
ProfessionalCuprins
Introduction to Mathematical Morphology. Binary Morphology. Grayscale Morphology. Basic Morphological Algorithms. Morphological Filters. Distance Transformation. Feature Extraction. Object Representation. Decomposition of Morphological Structuring Elements. Architectures for Mathematical Morphology. General Sweep Mathematical Morphology. Morphological Approach to Shortest Path Planning.
Descriere
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.