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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spelling Sparavigna, Amelia Carolina edt
Entropy in Image Analysis II
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
1 electronic resource (394 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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.
English
History of engineering & technology bicssc
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
3-03943-160-9
3-03943-161-7
Sparavigna, Amelia Carolina oth
language English
format eBook
author2 Sparavigna, Amelia Carolina
author_facet Sparavigna, Amelia Carolina
author2_variant a c s ac acs
author2_role Sonstige
title Entropy in Image Analysis II
spellingShingle Entropy in Image Analysis II
title_full Entropy in Image Analysis II
title_fullStr Entropy in Image Analysis II
title_full_unstemmed Entropy in Image Analysis II
title_auth Entropy in Image Analysis II
title_new Entropy in Image Analysis II
title_sort entropy in image analysis ii
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2020
physical 1 electronic resource (394 p.)
isbn 3-03943-160-9
3-03943-161-7
illustrated Not Illustrated
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