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Intelligent Processing on Image and Optical Information
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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.
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Keywords
- adam
- adaptive mean-shift
- autofocus
- background-oriented schlieren
- biomedical imaging
- block compressed sensing
- bone fracture
- boundary point
- calcaneus
- change detection
- classifier
- cluster validity index
- clustering algorithm
- clustering evaluation
- continuous casting slabs
- convolutional neural network
- CT image
- database augmentation
- deep learning
- deep neural network
- defect detection
- digital image correlation
- discrete non-separable shearlet transform
- dominant spectral wavelength
- Dongting Lake
- ego-motion estimation
- error resilience
- extraction
- face registration
- facial image
- feature extraction
- feature selection
- fermentation monitoring
- Gabor filter
- GAN (Generative adversarial networks)
- Generation
- generative models
- gray-level co-occurrence matrix
- hand-eye calibration
- healthy and infected lemons
- heat waves
- Hermite
- high-temperature measurement
- History of engineering & technology
- hybrid ant lion optimizer
- hyperspectral image
- image completion
- image fusion
- image interpolation
- Image processing
- image up-scaling
- IMU
- inner-distance
- interior point
- kernel spectral regression
- lemon skin
- LiDAR odometry
- Machine learning
- microscopy image analysis
- microscopy image processing
- multi-sensor
- n/a
- night vision goggles
- NSCT
- Numerical Optimization
- optical sensor
- parameter optimization
- Penicillium digitatum pathogen
- process automation
- quality inspection
- radiographic image
- Reconstruction
- segmentation
- sensor fusion
- sparse and low-rank matrix decomposition
- spectral intensity ratio
- stochastic gradient methods
- structure similarity
- Student’s-t Mixtures Model
- superellipsoid model fitting
- surface defect classification
- Synthesis
- Technology, engineering, agriculture
- Technology: general issues
- tensor decomposition models
- texture classification
- thermal disturbance
- variogram function
- wildlife monitoring image
- wireless multimedia sensor networks
- zebrafish egg
- zebrafish larva
Links
DOI: 10.3390/books978-3-03936-945-4Editions