00808nam a22002411i 450099100214136970753620040719153829.0040802s1966 it a||||||||||||||||ita b1348204x-39ule_instDip.to di Studi Storiciita759.5Carracci/[a cura di Evelina Borea]Milano :Fabbri,c19651 v. ;36 cmI maestri del colore ;49Carracci, AnnibaleBorea, Evelina.b1348204x14-02-0714-02-07991002141369707536LE009 ART. COLL.1/49 V.4912009000265585le009-E0.00-no 00000.i1436930814-02-07Carracci300974UNISALENTOle00905-08-04ma -itait 0005928nam 22017653a 450 991034684500332120250203235430.09783039210930303921093910.3390/books978-3-03921-093-0(CKB)4920000000095190(oapen)https://directory.doabooks.org/handle/20.500.12854/46558(ScCtBLL)84b6d408-2d52-4153-bc98-46e4d621daec(OCoLC)1118520215(oapen)doab46558(EXLCZ)99492000000009519020250203i20192019 uu engurmn|---annantxtrdacontentcrdamediacrrdacarrierEntropy in Image AnalysisAmelia Carolina SparavignaMDPI - Multidisciplinary Digital Publishing Institute2019Basel, Switzerland :MDPI,2019.1 electronic resource (456 p.)9783039210923 3039210920 Image 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.History of engineering and technologybicssckeyframestime-delaywhale optimization algorithmmultilevel thresholdingmulti-exposure image fusionadditive manufacturingpatch structure decompositionultra-sound images3D scanningArimoto entropycontrast enhancementspatial filling factordepth mapsimage processing3D printsdifferential evolutionfield of expertsnormalized divergence measureimage privacymultiscale top-hat transformq-exponentialtexture information entropydiffusionhybrid algorithmWeibull statisticsadaptive selectionnonextensive entropycomputer aided diagnosticsfatty liverrandom forestDNA encodinglow contrastentropyMinkowski islandfuzzy entropyfree-form deformationsperson re-identificationchaotic systemDNA computingpavementinformation entropydiscrete entropyTsallis statisticsvideo skimmingprime-indexed primesnatural scene statistics (NSS)Hénon mapq-sigmoidimage entropyShannon entropymacrotextureShannon’s entropybinary imagemulti-feature fusionimage analysisuncertainty assessmentnon-rigid registrationhash layerCantor setdynamic filteringdeep neural networksecurity analysismultiple-image encryptionHamming distanceblind image quality assessment (BIQA)q-Gaussianremote sensingdecay trendchaotic cryptographychaotic strategycross-entropy lossrandom insertionmetabolic syndromesign languagesgeneralized entropiesrelevance feedbackimage retrievaltwo-dimensional chaotic economic mapcryptanalysisinfrared images3D Latin cubeSHA-256 hash valuegradient distributionsstructural entropydiscrete cosine transform (DCT)chaotic maphepatic steatosismachine visionelectromagnetic field optimizationsecurityimage segmentationquantization losscolonoscopyvideo summarizationpermutationKapur’s entropysurface quality assessmentpermutation-diffusionRamanujan primesRényi entropieschosen-plaintext attackimage encryptiondynamic indexcolor image segmentationultrasoundOtsu methodsigmoidreconstructionimage information entropy3-D digital imagingpositron emission tomographymedical imagingHistory of engineering and technologySparavigna Amelia Carolina1304455ScCtBLLScCtBLLBOOK9910346845003321Entropy in Image Analysis3039208UNINA