Entropy in Image Analysis

Amelia Carolina Sparavigna (Herausgeber)

Buch | Softcover

456 Seiten

2019
MDPI (Verlag)
978-3-03921-092-3 (ISBN)

Keine Verlagsinformationen verfügbar

Artikel merken

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.

Erscheinungsdatum	06.07.2019
Verlagsort	Basel
Sprache	englisch
Maße	170 x 244 mm
Themenwelt	Sachbuch/Ratgeber ► Natur / Technik
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Schlagworte	3-D digital imaging • 3D Latin cube • 3D prints • 3D scanning • adaptive selection • Additive Manufacturing • Arimoto entropy • Binary Image • blind image quality assessment (BIQA) • Cantor set • chaotic cryptography • chaotic map • chaotic strategy • Chaotic System • chosen-plaintext attack • Colonoscopy • color image segmentation • Computer Aided Diagnostics • Contrast Enhancement • cross-entropy loss • Cryptanalysis • decay trend • Deep Neural Network • Depth Maps • Differential evolution • Diffusion • Discrete Cosine Transform (DCT) • discrete entropy • DNA computing • DNA encoding • dynamic filtering • dynamic index • electromagnetic field optimization • Entropy • fatty liver • field of experts • free-form deformations • Fuzzy Entropy • generalized entropies • gradient distributions • hamming distance • hash layer • Hénon map • hepatic steatosis • hybrid algorithm • Image Analysis • image encryption • image entropy • image information entropy • image privacy • Image Processing • Image Retrieval • Image Segmentation • information entropy • information entropy, natural scene statistics (NSS) • infrared images • Kapur’s entropy • Keyframes • low contrast • Machine vision • macrotexture • Medical Imaging • Metabolic Syndrome • Minkowski island • multi-exposure image fusion • Multi-feature Fusion • Multilevel thresholding • multiple-image encryption • multiscale top-hat transform • nonextensive entropy • Non-Rigid Registration • normalized divergence measure • Otsu method • patch structure decomposition • pavement • Permutation • permutation-diffusion • Person Re-Identification • Positron Emission Tomography • prime-indexed primes • q-exponential • q-Gaussian • q-sigmoid • quantization loss • Ramanujan primes • random forest • random insertion • reconstruction • relevance feedback • Remote Sensing • Rényi entropies • security • security analysis • SHA-256 hash value • Shannon Entropy • Shannon’s entropy • sigmoid • Sign Languages • spatial filling factor • structural entropy • surface quality assessment • texture information entropy • Time-Delay • Tsallis statistics • two-dimensional chaotic economic map • Ultrasound • ultra-sound images • uncertainty assessment • video skimming • video summarization • Weibull statistics • Whale Optimization Algorithm
ISBN-10	3-03921-092-0 / 3039210920
ISBN-13	978-3-03921-092-3 / 9783039210923
Zustand	Neuware