TY - BOOK ID - 8130793 TI - Hybrid Soft Computing for Image Segmentation AU - Bhattacharyya, Siddhartha. AU - Dutta, Paramartha. AU - De, Sourav. AU - Klepac, Goran. PY - 2016 SN - 3319472224 3319472232 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Computer science. KW - Artificial intelligence. KW - Computer graphics. KW - Computational intelligence. KW - Computer Science. KW - Artificial Intelligence (incl. Robotics). KW - Computational Intelligence. KW - Computer Imaging, Vision, Pattern Recognition and Graphics. KW - Image segmentation. KW - Image partitioning KW - Partitioning, Image KW - Segmentation, Image KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - Automatic drafting KW - Graphic data processing KW - Graphics, Computer KW - Computer art KW - Graphic arts KW - Electronic data processing KW - Engineering graphics KW - Image processing KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Informatics KW - Science KW - Digital techniques KW - Image analysis KW - Engineering. KW - Computer vision. KW - Artificial Intelligence. KW - Machine vision KW - Vision, Computer KW - Pattern recognition systems KW - Construction KW - Industrial arts KW - Technology KW - Optical data processing. KW - Optical computing KW - Visual data processing KW - Integrated optics KW - Photonics KW - Computers KW - Optical equipment UR - https://www.unicat.be/uniCat?func=search&query=sysid:8130793 AB - 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. ER -