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Entropy in Image Analysis

dc.contributor.authorSparavigna, Amelia Carolina*
dc.date.accessioned2021-02-11T12:42:04Z
dc.date.available2021-02-11T12:42:04Z
dc.date.issued2019*
dc.date.submitted2019-06-26 08:44:06*
dc.identifier33708*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/46558
dc.description.abstractImage 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.*
dc.languageEnglish*
dc.subjectTA1-2040*
dc.subjectT1-995*
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.otherkeyframes*
dc.subject.othertime-delay*
dc.subject.otherwhale optimization algorithm*
dc.subject.othermultilevel thresholding*
dc.subject.othermulti-exposure image fusion*
dc.subject.otheradditive manufacturing*
dc.subject.otherpatch structure decomposition*
dc.subject.otherultra-sound images*
dc.subject.other3D scanning*
dc.subject.otherArimoto entropy*
dc.subject.othercontrast enhancement*
dc.subject.otherspatial filling factor*
dc.subject.otherdepth maps*
dc.subject.otherimage processing*
dc.subject.other3D prints*
dc.subject.otherdifferential evolution*
dc.subject.otherfield of experts*
dc.subject.othernormalized divergence measure*
dc.subject.otherimage privacy*
dc.subject.othermultiscale top-hat transform*
dc.subject.otherq-exponential*
dc.subject.othertexture information entropy*
dc.subject.otherdiffusion*
dc.subject.otherhybrid algorithm*
dc.subject.otherWeibull statistics*
dc.subject.otheradaptive selection*
dc.subject.othernonextensive entropy*
dc.subject.othercomputer aided diagnostics*
dc.subject.otherfatty liver*
dc.subject.otherrandom forest*
dc.subject.otherDNA encoding*
dc.subject.otherlow contrast*
dc.subject.otherentropy*
dc.subject.otherMinkowski island*
dc.subject.otherfuzzy entropy*
dc.subject.otherfree-form deformations*
dc.subject.otherperson re-identification*
dc.subject.otherchaotic system*
dc.subject.otherDNA computing*
dc.subject.otherpavement*
dc.subject.otherinformation entropy*
dc.subject.otherdiscrete entropy*
dc.subject.otherTsallis statistics*
dc.subject.othervideo skimming*
dc.subject.otherprime-indexed primes*
dc.subject.othernatural scene statistics (NSS)*
dc.subject.otherHénon map*
dc.subject.otherq-sigmoid*
dc.subject.otherimage entropy*
dc.subject.otherShannon entropy*
dc.subject.othermacrotexture*
dc.subject.otherShannon’s entropy*
dc.subject.otherbinary image*
dc.subject.othermulti-feature fusion*
dc.subject.otherimage analysis*
dc.subject.otheruncertainty assessment*
dc.subject.othernon-rigid registration*
dc.subject.otherhash layer*
dc.subject.otherCantor set*
dc.subject.otherdynamic filtering*
dc.subject.otherdeep neural network*
dc.subject.othersecurity analysis*
dc.subject.othermultiple-image encryption*
dc.subject.otherHamming distance*
dc.subject.otherblind image quality assessment (BIQA)*
dc.subject.otherq-Gaussian*
dc.subject.otherremote sensing*
dc.subject.otherdecay trend*
dc.subject.otherchaotic cryptography*
dc.subject.otherchaotic strategy*
dc.subject.othercross-entropy loss*
dc.subject.otherrandom insertion*
dc.subject.othermetabolic syndrome*
dc.subject.othersign languages*
dc.subject.othergeneralized entropies*
dc.subject.otherrelevance feedback*
dc.subject.otherimage retrieval*
dc.subject.othertwo-dimensional chaotic economic map*
dc.subject.othercryptanalysis*
dc.subject.otherinfrared images*
dc.subject.other3D Latin cube*
dc.subject.otherSHA-256 hash value*
dc.subject.othergradient distributions*
dc.subject.otherstructural entropy*
dc.subject.otherdiscrete cosine transform (DCT)*
dc.subject.otherchaotic map*
dc.subject.otherhepatic steatosis*
dc.subject.othermachine vision*
dc.subject.otherelectromagnetic field optimization*
dc.subject.othersecurity*
dc.subject.otherimage segmentation*
dc.subject.otherquantization loss*
dc.subject.othercolonoscopy*
dc.subject.othervideo summarization*
dc.subject.otherpermutation*
dc.subject.otherKapur’s entropy*
dc.subject.othersurface quality assessment*
dc.subject.otherpermutation-diffusion*
dc.subject.otherRamanujan primes*
dc.subject.otherRényi entropies*
dc.subject.otherchosen-plaintext attack*
dc.subject.otherimage encryption*
dc.subject.otherdynamic index*
dc.subject.othercolor image segmentation*
dc.subject.otherultrasound*
dc.subject.otherOtsu method*
dc.subject.othersigmoid*
dc.subject.otherreconstruction*
dc.subject.otherimage information entropy*
dc.subject.other3-D digital imaging*
dc.subject.otherpositron emission tomography*
dc.subject.othermedical imaging*
dc.titleEntropy in Image Analysis*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03921-093-0*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
oapen.relation.isbn9783039210923*
oapen.relation.isbn9783039210930*
oapen.pages456*
oapen.edition1st*


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