Bio-inspired computing for image and video processing / [edited by] D.P. Acharjya and V. Santhi. - 1 online resource (xvii, 245 pages)

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.

9781315153797 9781351640312

10.1201/9781315153797 doi


Natural computation.
Image processing--Mathematical models.
Image analysis--Mathematical models.

QA76.9.N37 / B556 2018

006.38 / B615