| 書目名稱 | Hybrid Soft Computing for Image Segmentation | | 編輯 | Siddhartha Bhattacharyya,Paramartha Dutta,Goran Kl | | 視頻video | http://file.papertrans.cn/431/430169/430169.mp4 | | 概述 | Topic important in applications such as image processing, image mining, video surveillance, and intelligent transportation systems.Valuable for researchers and graduate students in the domains of imag | | 圖書封面 |  | | 描述 | .This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization...The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.. | | 出版日期 | Book 2016 | | 關(guān)鍵詞 | Image Analysis; Image Understanding; Image Processing; Image Segmentation; Pattern Recognition; Medical I | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-47223-2 | | isbn_softcover | 978-3-319-83684-3 | | isbn_ebook | 978-3-319-47223-2 | | copyright | Springer International Publishing AG 2016 |
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