Reprint
Entropy in Image Analysis III
Edited by
April 2022
230 pages
- ISBN978-3-0365-3515-9 (Hardback)
- ISBN978-3-0365-3516-6 (PDF)
This book is a reprint of the Special Issue Entropy in Image Analysis III that was published in
Chemistry & Materials Science
Computer Science & Mathematics
Physical Sciences
Summary
Image analysis can be applied to rich and assorted scenarios; therefore, the aim of this recent research field is not only to mimic the human vision system. Image analysis is the main methods that computers are using today, and there is body of knowledge that they will be able to manage in a totally unsupervised manner in future, thanks to their artificial intelligence. The articles published in the book clearly show such a future.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
Newton-Raphson’s method; chaos; image encryption/decryption; security analysis; chaos; image encryption; cryptanalysis; hyper-chaotic; ribonucleic acid; color image encryption; transformed Zigzag; image segmentation; computer-assisted diagnosis; machine learning; spleen injury detection; hyperchaotic; image encryption; permutation; diffusion; multiple bit operation; circular-step wedge; contrast-detail; mutual information; visible ratio; anode heel effect; prior information; entropy; fwi; regularization; inverse problems; bat optimization; human crowd behavior (HCB); improved entropy (IE); Jaccard similarity; multi-person counting; particles gradient motion (PGM); speeded up robust features (SURF); Retinex; image enhancement; gamma correction; low-light image; HSV color space; scan route; Hilbert curve; run-length-based entropy coding; image and video compression; secure communication; image encryption; chaos; cellular neural network; power-divergence measure; computed tomography; iterative reconstruction; maximum-likelihood expectation-maximization method; continuous-time image reconstruction; n/a