LEADER 00844nam0-22002891i-450- 001 990007869050403321 005 20040419104745.0 010 $a1-84376-230-7 035 $a000786905 035 $aFED01000786905 035 $a(Aleph)000786905FED01 035 $a000786905 100 $a20040419d--------km-y0itay50------ba 101 0 $aeng 102 $aGB 105 $aa---a---001yy 200 1 $acompetition and regulation in utility markets$fColin Robinson 210 $aCheltenham, GB ; Northampton, MA, USA$cEdward Elgar$d2003 215 $axxv, 246 pag.$d24 cm 700 1$aRobinson,$bColin$f<1932- >$0119596 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007869050403321 952 $aL5.140$b9836$fDECTS 959 $aDECTS 996 $aCompetition and regulation in utility markets$9673211 997 $aUNINA LEADER 03378nam 22006015 450 001 9910153302403321 005 20251113205222.0 010 $a3-319-48550-4 024 7 $a10.1007/978-3-319-48550-8 035 $a(CKB)3710000000961041 035 $a(DE-He213)978-3-319-48550-8 035 $a(MiAaPQ)EBC4746988 035 $a(PPN)197138438 035 $a(MiAaPQ)EBC6241973 035 $a(EXLCZ)993710000000961041 100 $a20161122d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances and Applications of Optimised Algorithms in Image Processing /$fby Diego Oliva, Erik Cuevas 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIII, 178 p. 53 illus.) 225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v117 311 08$a3-319-48549-0 320 $aIncludes bibliographical references at the end of each chapters. 327 $aAn introduction to machine learning -- Optimization -- Electromagnetism ? Like Optimization Algorithm: An Introduction -- Digital image segmentation as an optimization problem -- Template matching using a physical inspired algorithm.-Detection of circular shapes in digital images -- A medical application: Blood cell segmentation by circle detection -- An EMO Improvement: Opposition-Based Electromagnetism-Like for Global Optimization. 330 $aThis book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing co. 410 0$aIntelligent Systems Reference Library,$x1868-4408 ;$v117 606 $aComputational intelligence 606 $aSignal processing 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aSignal, Speech and Image Processing 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aSignal processing. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aSignal, Speech and Image Processing. 615 24$aArtificial Intelligence. 676 $a511.8 700 $aOliva$b Diego$4aut$4http://id.loc.gov/vocabulary/relators/aut$0866726 702 $aCuevas$b Erik$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910153302403321 996 $aAdvances and Applications of Optimised Algorithms in Image Processing$92089225 997 $aUNINA