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Entropy in Image Analysis



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Autore: Sparavigna Amelia Carolina Visualizza persona
Titolo: Entropy in Image Analysis Visualizza cluster
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica: 1 electronic resource (456 p.)
Soggetto non controllato: keyframes
time-delay
whale optimization algorithm
multilevel thresholding
multi-exposure image fusion
additive manufacturing
patch structure decomposition
ultra-sound images
3D scanning
Arimoto entropy
contrast enhancement
spatial filling factor
depth maps
image processing
3D prints
differential evolution
field of experts
normalized divergence measure
image privacy
multiscale top-hat transform
q-exponential
texture information entropy
diffusion
hybrid algorithm
Weibull statistics
adaptive selection
nonextensive entropy
computer aided diagnostics
fatty liver
random forest
DNA encoding
low contrast
entropy
Minkowski island
fuzzy entropy
free-form deformations
person re-identification
chaotic system
DNA computing
pavement
information entropy
discrete entropy
Tsallis statistics
video skimming
prime-indexed primes
natural scene statistics (NSS)
Hénon map
q-sigmoid
image entropy
Shannon entropy
macrotexture
Shannon’s entropy
binary image
multi-feature fusion
image analysis
uncertainty assessment
non-rigid registration
hash layer
Cantor set
dynamic filtering
deep neural network
security analysis
multiple-image encryption
Hamming distance
blind image quality assessment (BIQA)
q-Gaussian
remote sensing
decay trend
chaotic cryptography
chaotic strategy
cross-entropy loss
random insertion
metabolic syndrome
sign languages
generalized entropies
relevance feedback
image retrieval
two-dimensional chaotic economic map
cryptanalysis
infrared images
3D Latin cube
SHA-256 hash value
gradient distributions
structural entropy
discrete cosine transform (DCT)
chaotic map
hepatic steatosis
machine vision
electromagnetic field optimization
security
image segmentation
quantization loss
colonoscopy
video summarization
permutation
Kapur’s entropy
surface quality assessment
permutation-diffusion
Ramanujan primes
Rényi entropies
chosen-plaintext attack
image encryption
dynamic index
color image segmentation
ultrasound
Otsu method
sigmoid
reconstruction
image information entropy
3-D digital imaging
positron emission tomography
medical imaging
Sommario/riassunto: 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.
Titolo autorizzato: Entropy in Image Analysis  Visualizza cluster
ISBN: 3-03921-093-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910346845003321
Lo trovi qui: Univ. Federico II
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