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Palabras clave – provistas por la editorial

image binarization; optical character recognition; local entropy filter; thresholding; image preprocessing; image entropy; image encryption; medical color images; RGB; chaotic system; crowd behavior analysis; salient crowd motion detection; repulsive force; direction entropy; node strength; Pompe disease; children; quantitative muscle ultrasound; texture-feature parametric imaging; compound chaotic system; S-box; image information entropy; image chaotic encryption; cryptography; Latin cube; bit cube; chosen plaintext attack; atmosphere background; engine flame; infrared radiation; detectability; image quality evaluation; image retrieval; pooling method; convolutional neural network; feature distribution entropy; lossless compression; pattern classification; machine learning; malaria infection; entropy; Golomb–Rice codes; image processing; image segmentation; weld segmentation; weld evaluation; convolution neural network; Python; Keras; RSNNS; MXNet; brain-computer interface (BCI); electroencephalography (EEG); motor imagery (MI); continuous wavelet transform (CWT); convolutional neural network (CNN); hyperchaotic system; filtering; DNA computing; diffusion; deep neural network; data expansion; blind image quality assessment; saliency and distortion; human visual system; declining quality; data hiding; AMBTC; steganography; stego image; dictionary-based coding; pixel value adjusting; neuroaesthetics; symmetry; balance; complexity; chiaroscuro; normalized entropy; renaissance; portrait paintings; art history; art statistics; chaotic systems; DNA coding; security analysis; magnetic resonance images; non-maximum suppression; object detection; key-point detection; IoU; feature fusion; quasi-resonant Rossby/drift wave triads; Mordell elliptic curve; pseudo-random numbers; substitution box; nuclear spin generator; medical image; peak signal-to-noise ratio; key space calculation; Duchenne muscular dystrophy; ultrasound; backscattered signals; medical imaging; neural engineering; computer vision; crowd motion detection; security