Fr. 225.00

Bio-Inspired Computing for Image and Video Processing

English · Hardback

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Zusammenfassung Bio-Inspired Computing for Image and Video Processing covers interesting and challenging new theories in image and video processing. It addresses the growing demand for image and video processing in areas, like secured biomedical imaging, biometrics, remote sensing, texture understanding, pattern recognition, content-based image retrieval, etc. Inhaltsverzeichnis 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 Honey-Comb Model Inspired Grid Chapter 4: Electrical Impedance Tomography Using Evolutionary Computing: A Review Part II: Bio-inspired OptimizationTechniques 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 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 Histogram Indexed Dictionary and the Huffman Encoding for Medical Images ...

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