| Adaptive Image Processing: A Computational Intelligence Perspective Contributor(s): Yap, Kim-Hui (Author), Guan, Ling (Author), Perry, Stuart William (Author) |
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ISBN: 1420084356 ISBN-13: 9781420084351 Publisher: CRC Press OUR PRICE: $228.00 Product Type: Hardcover - Other Formats Published: December 2009 Annotation: Adaptive image processing is one of the most important techniques in visual information processing, especially in early vision such as image restoration, filtering, enhancement, and segmentation. While existing books present some aspects of this important issue, there is not a single book that treats this problem from a purely computational intelligence (CI) viewpoint. With three new chapters and numerous updates throughout, this second edition includes substantial new material that focuses on applications of advanced CI techniques in image processing applications. It emphasizes developments in state-of-the-art CI techniques, such as CBIR. |
| Additional Information |
| BISAC Categories: - Computers | Image Processing - Computers | Intelligence (ai) & Semantics - Technology & Engineering | Imaging Systems |
| Dewey: 621.367 |
| LCCN: 2009041602 |
| Series: Image Processing |
| Physical Information: 0.97" H x 6.74" W x 9.54" (1.36 lbs) 376 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Illustrating essential aspects of adaptive image processing from a computational intelligence viewpoint, the second edition of Adaptive Image Processing: A Computational Intelligence Perspective provides an authoritative and detailed account of computational intelligence (CI) methods and algorithms for adaptive image processing in regularization, edge detection, and early vision. With three new chapters and updated information throughout, the new edition of this popular reference includes substantial new material that focuses on applications of advanced CI techniques in image processing applications. It introduces new concepts and frameworks that demonstrate how neural networks, support vector machines, fuzzy logic, and evolutionary algorithms can be used to address new challenges in image processing, including low-level image processing, visual content analysis, feature extraction, and pattern recognition. Emphasizing developments in state-of-the-art CI techniques, such as content-based image retrieval, this book continues to provide educators, students, researchers, engineers, and technical managers in visual information processing with the up-to-date understanding required to address contemporary challenges in image content processing and analysis. |