Bio-Inspired Computing for Image and Video Processing /

"In recent years bio-inspired computational theories and tools have developed to assist people in extracting knowledge from high dimensional data. These differ in how they take a more evolutionary approach to learning, as opposed to traditional artificial intelligence (AI) and what could be des...

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Bibliographic Details
Main Author:	Acharjya, D. P. (Author)
Corporate Author:	Taylor & Francis
Other Authors:	Santhi, V.
Format:	eBook
Language:	English
Published:	London : Taylor and Francis, 2017.
Edition:	First edition.
Subjects:	Natural computation. Image processing > Mathematical models. Image analysis > Mathematical models. Calcul naturel. Traitement d'images > Modèles mathématiques. Analyse d'images > Modèles mathématiques. MATHEMATICS > Applied. TECHNOLOGY & ENGINEERING > Imaging Systems. Image analysis > Mathematical models Image processing > Mathematical models Natural computation Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Part I Bio-Inspired Computing Models and Algorithms
chapter 1 Genetic Algorithm and BFOA-Based Iris and Palmprint Multimodal Biometric Digital Watermarking Models
chapter 2 Multilevel Thresholding for Image Segmentation Using Cricket Chirping Algorithm
chapter 3 Algorithms for Drawing Graphics Primitives on a Honeycomb Model-Inspired Grid
chapter 4 Electrical Impedance Tomography Using Evolutionary Computing: A Review
part II Bio-Inspired Optimization Techniques
chapter 5 An Optimized False Positive Free Video Watermarking System in Dual Transform Domain
chapter 6 Bone Tissue Segmentation Using Spiral Optimization and Gaussian Thresholding
chapter 7 Digital Image Segmentation Using Computational Intelligence Approaches
chapter 8 Digital Color Image Watermarking Using DWT SVD Cuckoo Search Optimization
chapter 9 Digital Image Watermarking Scheme in Transform Domain Using the Particle Swarm Optimization Technique
part III Bio-Inspired Computing Applications to Image and Video Processing
chapter 10 Evolutionary Algorithms for the Efficient Design of Multiplier-Less Image Filter
chapter 11 Fusion of Texture and Shape-Based Statistical Features for MRI Image Retrieval System
chapter 12 Singular Value Decomposition-Principal Component Analysis-Based Object Recognition Approach
chapter 13 The KD-ORS Tree: An Efficient Indexing Technique for Content-Based Image Retrieval
chapter 14 An Efficient Image Compression Algorithm Based on the Integration of a Histogram Indexed Dictionary and the Huffman Encoding for Medical Images.