Reprint
Intelligent Processing on Image and Optical Information
Edited by
September 2020
324 pages
- ISBN978-3-03936-944-7 (Hardback)
- ISBN978-3-03936-945-4 (PDF)
This book is a reprint of the Special Issue Intelligent Processing on Image and Optical Information that was published in
Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary
This book focuses on the intelligent processing of images and optical information acquired by various imaging methods. Intelligent image and optical information processing have paved the way for the recent epoch of new intelligence and information era. Certainly, information acquired by various imaging techniques is of tremendous value; thus, an intelligent analysis of them is necessary to make the best use of it. A broad range of research fields is included in this book. Many studies focus on object classification and detection. Registration, segmentation, and fusion are performed between a series of images. Many valuable and up-to-most recent technologies are provided to solve the real problems in selected papers.
Format
- Hardback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
change detection; NSCT; variogram function; structure similarity; Dongting Lake; ego-motion estimation; hand-eye calibration; IMU; lidar odometry; sensor fusion; texture classification; Gabor filter; parameter optimization; feature selection; hybrid ant lion optimizer; wireless multimedia sensor networks; wildlife monitoring image; extraction; Hermite; adaptive mean-shift; biomedical imaging; bone fracture; calcaneus; CT image; segmentation; zebrafish egg; microscopy image processing; convolutional neural network; digital image correlation; high-temperature measurement; heat waves; thermal disturbance; background-oriented schlieren; fermentation monitoring; quality inspection; process automation; deep learning; superellipsoid model fitting; optical sensor; multi-sensor; face registration; inner-distance; Student’s-t Mixtures Model; image fusion; continuous casting slabs; surface defect classification; discrete non-separable shearlet transform; gray-level co-occurrence matrix; kernel spectral regression; block compressed sensing; error resilience; reconstruction; image completion; tensor decomposition models; image interpolation; image up-scaling; numerical optimization; ADAM; machine learning; stochastic gradient methods; healthy and infected lemons; Hyperspectral image; Penicillium digitatum pathogen; lemon skin; dominant spectral wavelength; spectral intensity ratio; zebrafish larva; microscopy image analysis; deep neural network; clustering evaluation; clustering algorithm; cluster validity index; boundary point; interior point; radiographic image; image processing; feature extraction; classifier; deep learning; defect detection; generative models; GAN (Generative adversarial networks); facial image; generation; database augmentation; synthesis; autofocus; night vision goggles; image fusion; sparse and low-rank matrix decomposition; n/a