LEADER 00868nam0-22003131i-450- 001 990007914120403321 005 20040913100546.0 035 $a000791412 035 $aFED01000791412 035 $a(Aleph)000791412FED01 035 $a000791412 100 $a20040910d1964----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $a<>vangeli$fa cura di Cesare Angelini$gnella traduzione di Niccolò Tommaseo 205 $a2. ed. 210 $aTorino$cEinaudi$d1964 215 $a267 p.$d19 cm 225 1 $aNuova universale Einaudi$v17 702 1$aAngelini,$bCesare$f<1887-1976> 702 1$aTommaseo,$bNiccolò$f<1802-1874> 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007914120403321 952 $aXI CL COLL 3 17$b540$fDFD 959 $aDFD 996 $aVangeli$9244742 997 $aUNINA LEADER 01438nam2-2200409li-450 001 990000116400203316 005 20180312154808.0 010 $a3-540-16458-8 035 $a0011640 035 $aUSA010011640 035 $a(ALEPH)000011640USA01 035 $a0011640 100 $a20001109d1986----km-y0itay0103----ba 101 0 $aeng 102 $aGW 200 1 $aLyapunov exponents$eproceedings of a workshop held in Bremen, November 12-15, 1984$fedited by L. Arnold and V. Wihstutz 210 $aBerlin [etc.]$cSpringer-Verlag$dcopyr. 1986 215 $a374 p.$d24 cm 225 2 $aLecture notes in mathematics$v1186 410 0$10010011630$12001$aLecture notes in mathematics$ea collection of informal reports and seminars$fedited by A. Dold, Heidelberg and B. Eckmann, Zürich 610 1 $acongressi$abrema$a1984 610 1 $aesponenti di lyapunov congressi 1984 676 $a5192$9Probabilità 702 1$aArnold,$bLudwig 702 1$aWihstutz,$bVolker 801 $aSistema bibliotecario di Ateneo dell' Università di Salerno$gRICA 912 $a990000116400203316 951 $a510 LNM (1186)$b0011923 CBS$c510$d00110286 959 $aBK 969 $aSCI 979 $c19900627 979 $c20001110$lUSA01$h1711 979 $aALANDI$b90$c20011129$lUSA01$h1013 979 $c20020403$lUSA01$h1619 979 $aPATRY$b90$c20040406$lUSA01$h1609 996 $aLyapunov exponents$979853 997 $aUNISA LEADER 05703nam 22017173a 450 001 9910346845003321 005 20250203235430.0 010 $a9783039210930 010 $a3039210939 024 8 $a10.3390/books978-3-03921-093-0 035 $a(CKB)4920000000095190 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/46558 035 $a(ScCtBLL)84b6d408-2d52-4153-bc98-46e4d621daec 035 $a(OCoLC)1118520215 035 $a(EXLCZ)994920000000095190 100 $a20250203i20192019 uu 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aEntropy in Image Analysis$fAmelia Carolina Sparavigna 210 1$aBasel, Switzerland :$cMDPI,$d2019. 215 $a1 electronic resource (456 p.) 311 08$a9783039210923 311 08$a3039210920 330 $aImage analysis is a fundamental task for extracting information from images acquired across a range of different devices. Since reliable quantitative results are requested, image analysis requires highly sophisticated numerical and analytical methods-particularly for applications in medicine, security, and remote sensing, where the results of the processing may consist of vitally important data. The contributions to this book provide a good overview of the most important demands and solutions concerning this research area. In particular, the reader will find image analysis applied for feature extraction, encryption and decryption of data, color segmentation, and in the support new technologies. In all the contributions, entropy plays a pivotal role. 610 $akeyframes 610 $atime-delay 610 $awhale optimization algorithm 610 $amultilevel thresholding 610 $amulti-exposure image fusion 610 $aadditive manufacturing 610 $apatch structure decomposition 610 $aultra-sound images 610 $a3D scanning 610 $aArimoto entropy 610 $acontrast enhancement 610 $aspatial filling factor 610 $adepth maps 610 $aimage processing 610 $a3D prints 610 $adifferential evolution 610 $afield of experts 610 $anormalized divergence measure 610 $aimage privacy 610 $amultiscale top-hat transform 610 $aq-exponential 610 $atexture information entropy 610 $adiffusion 610 $ahybrid algorithm 610 $aWeibull statistics 610 $aadaptive selection 610 $anonextensive entropy 610 $acomputer aided diagnostics 610 $afatty liver 610 $arandom forest 610 $aDNA encoding 610 $alow contrast 610 $aentropy 610 $aMinkowski island 610 $afuzzy entropy 610 $afree-form deformations 610 $aperson re-identification 610 $achaotic system 610 $aDNA computing 610 $apavement 610 $ainformation entropy 610 $adiscrete entropy 610 $aTsallis statistics 610 $avideo skimming 610 $aprime-indexed primes 610 $anatural scene statistics (NSS) 610 $aHénon map 610 $aq-sigmoid 610 $aimage entropy 610 $aShannon entropy 610 $amacrotexture 610 $aShannon?s entropy 610 $abinary image 610 $amulti-feature fusion 610 $aimage analysis 610 $auncertainty assessment 610 $anon-rigid registration 610 $ahash layer 610 $aCantor set 610 $adynamic filtering 610 $adeep neural network 610 $asecurity analysis 610 $amultiple-image encryption 610 $aHamming distance 610 $ablind image quality assessment (BIQA) 610 $aq-Gaussian 610 $aremote sensing 610 $adecay trend 610 $achaotic cryptography 610 $achaotic strategy 610 $across-entropy loss 610 $arandom insertion 610 $ametabolic syndrome 610 $asign languages 610 $ageneralized entropies 610 $arelevance feedback 610 $aimage retrieval 610 $atwo-dimensional chaotic economic map 610 $acryptanalysis 610 $ainfrared images 610 $a3D Latin cube 610 $aSHA-256 hash value 610 $agradient distributions 610 $astructural entropy 610 $adiscrete cosine transform (DCT) 610 $achaotic map 610 $ahepatic steatosis 610 $amachine vision 610 $aelectromagnetic field optimization 610 $asecurity 610 $aimage segmentation 610 $aquantization loss 610 $acolonoscopy 610 $avideo summarization 610 $apermutation 610 $aKapur?s entropy 610 $asurface quality assessment 610 $apermutation-diffusion 610 $aRamanujan primes 610 $aRényi entropies 610 $achosen-plaintext attack 610 $aimage encryption 610 $adynamic index 610 $acolor image segmentation 610 $aultrasound 610 $aOtsu method 610 $asigmoid 610 $areconstruction 610 $aimage information entropy 610 $a3-D digital imaging 610 $apositron emission tomography 610 $amedical imaging 700 $aSparavigna$b Amelia Carolina$01304455 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910346845003321 996 $aEntropy in Image Analysis$93039208 997 $aUNINA