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Intelligent Processing on Image and Optical Information

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Palabras clave – provistas por la editorial

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; defect detection; generative models; GAN (Generative adversarial networks); facial image; generation; database augmentation; synthesis; autofocus; night vision goggles; sparse and low-rank matrix decomposition; n/a

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-03936-945-4

País de edición

Suiza