Entropy in Image Analysis
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Beschreibung
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.
Autor*in
Amelia Carolina Sparavigna
Themen in »Entropy in Image Analysis«
image retrieval multi-feature fusion entropy relevance feedback chaotic system image encryption permutation-diffusion SHA-256 hash value dynamic index entropy keyframes Shannon’s entropy sign languages video summarization video skimming