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Entropy in Image Analysis III

Image analysis can be applied to rich and assorted scenarios; therefore, the aim of this recent research field is not only to mimic the human vision system. Image analysis is the main methods that computers are using today, and there is body of knowledge that they will be able to manage in a totally...

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Bibliographic Details
Main Author: Sparavigna, Amelia Carolina
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Machine Learning
Fwi
Color Image Encryption
Secure Communication
Contrast-detail
Retinex
Continuous-time Image Reconstruction
N/a
Diffusion
Ribonucleic Acid
Jaccard Similarity
Hilbert Curve
Circular-step Wedge
Anode Heel Effect
History Of Engineering And Technology / Bicssc
Computer-assisted Diagnosis
Image Enhancement
Hsv Color Space
Spleen Injury Detection
Gamma Correction
Technology: General Issues / Bicssc
Newton-raphson's Method
Low-light Image
Image Encryption
Permutation
Chaos
Inverse Problems
Human Crowd Behavior (hcb)
Hyper-chaotic
Multi-person Counting
Image And Video Compression
Particles Gradient Motion (pgm)
Power-divergence Measure
Maximum-likelihood Expectation-maximization Method
Speeded Up Robust Features (surf)
Run-length-based Entropy Coding
Improved Entropy (ie)
Visible Ratio
Cellular Neural Network
Iterative Reconstruction
Entropy
Image Encryption/decryption
Bat Optimization
Computed Tomography
Multiple Bit Operation
Prior Information
Hyperchaotic
Scan Route
Transformed Zigzag
Mutual Information
Security Analysis
Image Segmentation
Cryptanalysis
Regularization
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:Image analysis can be applied to rich and assorted scenarios; therefore, the aim of this recent research field is not only to mimic the human vision system. Image analysis is the main methods that computers are using today, and there is body of knowledge that they will be able to manage in a totally unsupervised manner in future, thanks to their artificial intelligence. The articles published in the book clearly show such a future.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (230 p.)
ISBN:9783036535166
books978-3-0365-3516-6
9783036535159

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