LEADER 04843nam 22008295 450 001 9910254210003321 005 20251113211812.0 010 $a9783319264622 010 $a3319264621 024 7 $a10.1007/978-3-319-26462-2 035 $a(CKB)3710000000501147 035 $a(EBL)4086762 035 $a(SSID)ssj0001584556 035 $a(PQKBManifestationID)16264450 035 $a(PQKBTitleCode)TC0001584556 035 $a(PQKBWorkID)14865159 035 $a(PQKB)10503907 035 $a(DE-He213)978-3-319-26462-2 035 $a(MiAaPQ)EBC4086762 035 $a(PPN)190536454 035 $a(EXLCZ)993710000000501147 100 $a20151107d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aApplications of Evolutionary Computation in Image Processing and Pattern Recognition /$fby Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (284 p.) 225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v100 300 $aDescription based upon print version of record. 311 08$a9783319264608 311 08$a3319264605 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- Image Segmentation Based on Differential Evolution Optimization.-Motion Estimation Based on Artificial Bee Colony (ABC) -- Ellipse Detection on Images Inspired by the Collective Animal Behavior -- Template Matching by Using the States of Matter Algorithm -- Estimation of Multiple View Relations Considering Evolutionary Approaches -- Circle Detection on Images Based on an Evolutionary Algorithm that Reduces the Number of Function Evaluations -- Otsu and Kapur Segmentation Based on Harmony Search Optimization -- Leukocyte Detection by Using Electromagnetism-Like Optimization -- Automatic Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms. 330 $aThis book presents the use of efficient Evolutionary Computation (EC) algorithms for solving diverse real-world image processing and pattern recognition problems. It provides an overview of the different aspects of evolutionary methods in order to enable the reader in reaching a global understanding of the field and, in conducting studies on specific evolutionary techniques that are related to applications in image processing and pattern recognition. It explains the basic ideas of the proposed applications in a way that can also be understood by readers outside of the field. Image processing and pattern recognition practitioners who are not evolutionary computation researchers will appreciate the discussed techniques beyond simple theoretical tools since they have been adapted to solve significant problems that commonly arise on such areas. On the other hand, members of the evolutionary computation community can learn the way in which image processing and pattern recognition problems can be translated into an optimization task. The book has been structured so that each chapter can be read independently from the others. It can serve as reference book for students and researchers with basic knowledge in image processing and EC methods. 410 0$aIntelligent Systems Reference Library,$x1868-4408 ;$v100 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aSignal processing 606 $aComputer vision 606 $aMathematical optimization 606 $aCalculus of variations 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aSignal, Speech and Image Processing 606 $aComputer Vision 606 $aCalculus of Variations and Optimization 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aSignal processing. 615 0$aComputer vision. 615 0$aMathematical optimization. 615 0$aCalculus of variations. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aSignal, Speech and Image Processing. 615 24$aComputer Vision. 615 24$aCalculus of Variations and Optimization. 676 $a006.3823 700 $aCuevas$b Erik$4aut$4http://id.loc.gov/vocabulary/relators/aut$0761169 702 $aZaldívar$b Daniel$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aPerez-Cisneros$b Marco$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254210003321 996 $aApplications of Evolutionary Computation in Image Processing and Pattern Recognition$92544033 997 $aUNINA