Explore
Entropy in Image Analysis II
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 241 times via unglue.it ebook links.
- 74 - pdf (CC BY) at Unglue.it.
- 167 - pdf (CC BY) at res.mdpi.com.
Keywords
- AMBTC
- art history
- art statistics
- atmosphere background
- backscattered signals
- balance
- bit cube
- blind image quality assessment
- brain-computer interface (BCI)
- chaotic system
- chaotic systems
- chiaroscuro
- Children
- chosen plaintext attack
- complexity
- compound chaotic system
- Computer vision
- continuous wavelet transform (CWT)
- convolution neural network
- convolutional neural network
- convolutional neural network (CNN)
- crowd behavior analysis
- crowd motion detection
- Cryptography
- data expansion
- data hiding
- declining quality
- deep neural network
- detectability
- dictionary-based coding
- Diffusion
- direction entropy
- DNA coding
- DNA computing
- Duchenne muscular dystrophy
- Electroencephalography (EEG)
- engine flame
- Entropy
- feature distribution entropy
- feature fusion
- filtering
- Golomb–Rice codes
- History of engineering & technology
- human visual system
- hyperchaotic system
- image binarization
- image chaotic encryption
- image encryption
- image entropy
- image information entropy
- image preprocessing
- Image processing
- image quality evaluation
- image retrieval
- image segmentation
- infrared radiation
- IoU
- Keras
- key space calculation
- key-point detection
- Latin cube
- local entropy filter
- lossless compression
- Machine learning
- magnetic resonance images
- malaria infection
- medical color images
- medical image
- Medical imaging
- Mordell elliptic curve
- motor imagery (MI)
- MXNet
- neural engineering
- neuroaesthetics
- node strength
- non-maximum suppression
- normalized entropy
- nuclear spin generator
- object detection
- optical character recognition
- Pattern Classification
- peak signal-to-noise ratio
- pixel value adjusting
- Pompe disease
- pooling method
- portrait paintings
- pseudo-random numbers
- Python
- quantitative muscle ultrasound
- quasi-resonant Rossby/drift wave triads
- Renaissance
- repulsive force
- RGB
- RSNNS
- S-box
- saliency and distortion
- salient crowd motion detection
- security
- security analysis
- steganography
- stego image
- substitution box
- Symmetry
- Technology, engineering, agriculture
- Technology: general issues
- texture-feature parametric imaging
- thresholding
- ultrasound
- weld evaluation
- weld segmentation
Links
DOI: 10.3390/books978-3-03943-161-8Editions