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 described as 'creationist' methods. Instead bio-inspired computing takes a bottom-up, de-centralized approach that often involves the method of specifying a set of simple rules, a set of simple organisms which adhere to those rules, and of iteratively applying those rules. 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 diverse application areas, such as secured biomedical imaging, biometrics, remote sensing, texture understanding, pattern recognition, content-based image retrieval, and more. This book is perfect for students following this topic at both undergraduate and postgraduate level. It will also prove indispensable to researchers who have an interest in image processing using bio-inspired computing.
Les mer
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.
Les mer
Part I: Bio-inspired Computing Models and AlgorithmsChapter 1: Genetic Algorithm and BFOA based Iris and Palmprint Multimodal Biometric Digital Watermarking ModelsChapter 2: Multilevel Thresholding for Image Segmentation using Cricket Chirping AlgorithmChapter 3: Algorithms for Drawing Graphics Primitives on Honey-Comb Model Inspired GridChapter 4: Electrical Impedance Tomography Using Evolutionary Computing: A ReviewPart II: Bio-inspired OptimizationTechniquesChapter 5: An Optimized False Positive Free Video Watermarking System in Dual Transform DomainChapter 6: Bone Tissue Segmentation using Spiral Optimization and Gaussian ThresholdingChapter 7: Digital Image Segmentation using Computational Intelligence ApproachesChapter 8: Digital Color Image Watermarking using DWT SVD Cuckoo Search OptimizationChapter 9: Digital Image Watermarking Scheme in Transform Domain using Particle Swarm Optimization TechniquePart III: Bio-inspired Computing Applications to Image and Video ProcessingChapter 10: Evolutionary Algorithms for the Efficient Design of Multiplier-less Image FilterChapter 11: Fusion of Texture and Shape based Statistical Features for MRI Image Retrieval SystemChapter 12: Singular Value Decomposition - Principal Component Analysis based Object Recognition ApproachChapter 13: The kd-ORS Tree: An Efficient Indexing Technique for Content Based Image RetrievalChapter 14: An Efficient Image Compression Algorithm based on the Integration of Histogram Indexed Dictionary and the Huffman Encoding for Medical Images
Les mer
Produktdetaljer
ISBN
9781498765923
Publisert
2017-12-22
Utgiver
Vendor
Chapman & Hall/CRC
Vekt
861 gr
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, G, 05, 01
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
404