LEADER 01048nam0 22002773i 450 001 SUN0099842 005 20141113121108.842 010 $d0.00 100 $a20141113d2007 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aMalattie cutanee e veneree$fFabio Ayala, Paolo Lisi, Giuseppe Monfrecola 210 $aPadova$cPiccin$d[2007] 215 $a415 p.$cill.$d28 cm. 620 $dPadova$3SUNL000007 700 1$aAyala$b, Fabio$3SUNV078335$0295913 701 1$aLisi$b, Paolo$3SUNV078336$0428456 701 1$aMonfrecola$b, Giuseppe$3SUNV078337$0425639 712 $aPiccin$3SUNV000025$4650 801 $aIT$bSOL$c20181109$gRICA 912 $aSUN0099842 950 $aUFFICIO DI BIBLIOTECA DEI DIPARTIMENTI DI AREA MEDICA$d12 CONS Biblioteca $e12 UBM5 995 $aUFFICIO DI BIBLIOTECA DEI DIPARTIMENTI DI AREA MEDICA$bIT-NA0588$gUBM$h5$kCONS Biblioteca$op$qa 996 $aMalattie cutanee e veneree$9709047 997 $aUNICAMPANIA LEADER 03441nam 2200985z- 450 001 9910566462103321 005 20220506 035 $a(CKB)5680000000037760 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/80946 035 $a(oapen)doab80946 035 $a(EXLCZ)995680000000037760 100 $a20202205d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aEntropy in Image Analysis III 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (230 p.) 311 08$a3-0365-3515-2 311 08$a3-0365-3516-0 330 $aImage analysis can be applied to rich and assorted scenarios; therefore, the aim of this recent research field is not only to mimic the human vision system. Image analysis is the main methods that computers are using today, and there is body of knowledge that they will be able to manage in a totally unsupervised manner in future, thanks to their artificial intelligence. The articles published in the book clearly show such a future. 606 $aHistory of engineering and technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $aanode heel effect 610 $abat optimization 610 $acellular neural network 610 $achaos 610 $acircular-step wedge 610 $acolor image encryption 610 $acomputed tomography 610 $acomputer-assisted diagnosis 610 $acontinuous-time image reconstruction 610 $acontrast-detail 610 $acryptanalysis 610 $adiffusion 610 $aentropy 610 $afwi 610 $agamma correction 610 $aHilbert curve 610 $aHSV color space 610 $ahuman crowd behavior (HCB) 610 $ahyper-chaotic 610 $ahyperchaotic 610 $aimage and video compression 610 $aimage encryption 610 $aimage encryption/decryption 610 $aimage enhancement 610 $aimage segmentation 610 $aimproved entropy (IE) 610 $ainverse problems 610 $aiterative reconstruction 610 $aJaccard similarity 610 $alow-light image 610 $amachine learning 610 $amaximum-likelihood expectation-maximization method 610 $amulti-person counting 610 $amultiple bit operation 610 $amutual information 610 $an/a 610 $aNewton-Raphson's method 610 $aparticles gradient motion (PGM) 610 $apermutation 610 $apower-divergence measure 610 $aprior information 610 $aregularization 610 $aRetinex 610 $aribonucleic acid 610 $arun-length-based entropy coding 610 $ascan route 610 $asecure communication 610 $asecurity analysis 610 $aspeeded up robust features (SURF) 610 $aspleen injury detection 610 $atransformed Zigzag 610 $avisible ratio 615 7$aHistory of engineering and technology 615 7$aTechnology: general issues 700 $aSparavigna$b Amelia Carolina$4edt$01304455 702 $aSparavigna$b Amelia Carolina$4oth 906 $aBOOK 912 $a9910566462103321 996 $aEntropy in Image Analysis III$93040911 997 $aUNINA