Entropy in Image Analysis II

Image analysis is a fundamental task for any application where extracting information from images is required. The analysis requires highly sophisticated numerical and analytical methods, particularly for those applications in medicine, security, and other fields where the results of the processing...

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Year of Publication:2020
Language:English
Physical Description:1 electronic resource (394 p.)
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520 |a Image analysis is a fundamental task for any application where extracting information from images is required. The analysis requires highly sophisticated numerical and analytical methods, particularly for those applications in medicine, security, and other fields where the results of the processing consist of data of vital importance. This fact is evident from all the articles composing the Special Issue "Entropy in Image Analysis II", in which the authors used widely tested methods to verify their results. In the process of reading the present volume, the reader will appreciate the richness of their methods and applications, in particular for medical imaging and image security, and a remarkable cross-fertilization among the proposed research areas. 
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650 7 |a History of engineering & technology  |2 bicssc 
653 |a image binarization 
653 |a optical character recognition 
653 |a local entropy filter 
653 |a thresholding 
653 |a image preprocessing 
653 |a image entropy 
653 |a image encryption 
653 |a medical color images 
653 |a RGB 
653 |a chaotic system 
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653 |a bit cube 
653 |a chosen plaintext attack 
653 |a atmosphere background 
653 |a engine flame 
653 |a infrared radiation 
653 |a detectability 
653 |a image quality evaluation 
653 |a image retrieval 
653 |a pooling method 
653 |a convolutional neural network 
653 |a feature distribution entropy 
653 |a lossless compression 
653 |a pattern classification 
653 |a machine learning 
653 |a malaria infection 
653 |a entropy 
653 |a Golomb–Rice codes 
653 |a image processing 
653 |a image segmentation 
653 |a weld segmentation 
653 |a weld evaluation 
653 |a convolution neural network 
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653 |a motor imagery (MI) 
653 |a continuous wavelet transform (CWT) 
653 |a convolutional neural network (CNN) 
653 |a hyperchaotic system 
653 |a filtering 
653 |a DNA computing 
653 |a diffusion 
653 |a deep neural network 
653 |a data expansion 
653 |a blind image quality assessment 
653 |a saliency and distortion 
653 |a human visual system 
653 |a declining quality 
653 |a data hiding 
653 |a AMBTC 
653 |a steganography 
653 |a stego image 
653 |a dictionary-based coding 
653 |a pixel value adjusting 
653 |a neuroaesthetics 
653 |a symmetry 
653 |a balance 
653 |a complexity 
653 |a chiaroscuro 
653 |a normalized entropy 
653 |a renaissance 
653 |a portrait paintings 
653 |a art history 
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653 |a chaotic systems 
653 |a DNA coding 
653 |a security analysis 
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653 |a object detection 
653 |a key-point detection 
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653 |a feature fusion 
653 |a quasi-resonant Rossby/drift wave triads 
653 |a Mordell elliptic curve 
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653 |a substitution box 
653 |a nuclear spin generator 
653 |a medical image 
653 |a peak signal-to-noise ratio 
653 |a key space calculation 
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653 |a ultrasound 
653 |a backscattered signals 
653 |a medical imaging 
653 |a neural engineering 
653 |a computer vision 
653 |a crowd motion detection 
653 |a security 
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