Adaptive Image Processing: A Computational Intelligence Perspective, 2/e (Hardcover)

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.

New to the Second Edition:

• A new chapter on a family of unsupervised algorithms with a basis in self-organization yet somewhat free from many of the constraints typical of other well-known self-organizing architectures
• New material on recent challenges in image content analysis and classification, including small sample problems and fuzzy user perception
• A new technique in visual query processing and visualization in 2D space
• New experiments and updates on perceptual error-based restoration

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.

《自適應影像處理：計算智能觀點》第二版從計算智能的角度，闡述了自適應影像處理的基本要素。本書提供了計算智能方法和算法在正則化、邊緣檢測和早期視覺中的應用的權威和詳細的描述。

新版增加了三個新章節，並在全書中更新了資訊。這本受歡迎的參考書的新版包含了大量新材料，重點介紹了高級計算智能技術在影像處理應用中的應用。它介紹了新的概念和框架，展示了神經網絡、支持向量機、模糊邏輯和演化算法如何應用於影像處理中的新挑戰，包括低層次影像處理、視覺內容分析、特徵提取和模式識別。

第二版的新內容包括：
- 一個關於一個基於自組織的無監督算法家族的新章節，該算法家族在某種程度上不受其他眾所周知的自組織架構的許多限制。
- 關於影像內容分析和分類的最新挑戰的新材料，包括小樣本問題和模糊用戶感知。
- 一種在二維空間中進行視覺查詢處理和可視化的新技術。
- 感知誤差修復的新實驗和更新。

本書強調了最新計算智能技術的發展，如基於內容的影像檢索，為視覺信息處理領域的教育工作者、學生、研究人員、工程師和技術經理提供了必要的最新理解，以應對當代影像內容處理和分析中的挑戰。