LEADER 04609nam 22007335 450 001 9910437582703321 005 20200705015918.0 010 $a3-642-40255-0 024 7 $a10.1007/978-3-642-40255-5 035 $a(CKB)3710000000024389 035 $a(EBL)1466018 035 $a(SSID)ssj0001049198 035 $a(PQKBManifestationID)11561324 035 $a(PQKBTitleCode)TC0001049198 035 $a(PQKBWorkID)11017613 035 $a(PQKB)10677911 035 $a(DE-He213)978-3-642-40255-5 035 $a(MiAaPQ)EBC6315370 035 $a(MiAaPQ)EBC1466018 035 $a(Au-PeEL)EBL1466018 035 $a(CaPaEBR)ebr10969050 035 $a(OCoLC)861787533 035 $a(PPN)176114424 035 $a(EXLCZ)993710000000024389 100 $a20131004d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSoft Computing for Image and Multimedia Data Processing /$fby Siddhartha Bhattacharyya, Ujjwal Maulik 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (278 p.) 300 $aDescription based upon print version of record. 311 $a3-642-40254-2 327 $aChap. 1 Introduction -- Chap. 2 Transformation-Invariant Image Recognition Using Multilayer Perceptron -- Chap. 3 Energy Efficient Intelligent Lighting Control Using a Multilayer Perceptron -- Chap. 4 Target Tracking Using Fuzzy Hostility Induced Segmentation of Optical Flow Field -- Chap. 5 Binary Object Extraction by Bidirectional Self-organizing Neural Network Architecture -- Chap. 6 Multilevel Object Extraction by BDSONN Architecture -- Chap. 7 Color Object Extraction by Parallel BDSONN Architecture -- Chap. 8 Gray-Scale Image Edge Detection Using Rough Sets -- References -- Index. 330 $aProper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipped with several tools and techniques that incorporate intelligent concepts and principles. This book is dedicated to object extraction, image segmentation, and edge detection using soft computing techniques with extensive real-life application to image and multimedia data.   The authors start with a comprehensive tutorial on the basics of brain structure and learning, and then the key soft computing techniques, including evolutionary computation, neural networks, fuzzy sets and fuzzy logic, and rough sets. They then present seven chapters that detail the application of representative techniques to complex image processing tasks such as image recognition, lighting control, target tracking, object extraction, and edge detection. These chapters follow a structured approach with detailed explanations of the problems, solutions, results, and conclusions.   This is both a standalone textbook for graduates in computer science, electrical engineering, system science, and information technology, and a reference for researchers and engineers engaged with pattern recognition, image processing, and soft computing. 606 $aArtificial intelligence 606 $aOptical data processing 606 $aComputational intelligence 606 $aData mining 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 0$aComputational intelligence. 615 0$aData mining. 615 14$aArtificial Intelligence. 615 24$aImage Processing and Computer Vision. 615 24$aComputational Intelligence. 615 24$aData Mining and Knowledge Discovery. 676 $a006.3 700 $aBhattacharyya$b Siddhartha$4aut$4http://id.loc.gov/vocabulary/relators/aut$0856518 702 $aMaulik$b Ujjwal$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437582703321 996 $aSoft Computing for Image and Multimedia Data Processing$92536899 997 $aUNINA