Bio-Inspired Computing for Image and Video Processing

D. P. Acharjya received his Ph.D. in Computer Science from Berhampur University, India; M. Tech. degree in Computer Science from Utkal University, India; and M. Sc. from NIT, Rourkela, India. Currently he is working as a Professor in the School of Computer Science and Engineering, VIT University, Vellore, India. He has authored more than 60 national and international journal and conference papers to his credit. He has also written four text books and edited six books to his credit. He has been awarded with Gold Medal in M. Sc; Eminent Academician Award from Khallikote Sanskrutika Parisad, Brahmapur, Odisha; Outstanding Educator and Scholar Award from NFED, Coimbatore, India; and The Best Citizens of India Award from The International Publishing House, New Delhi, India. He is acting as an editorial board member of various journals and reviewer of IEEE Fuzzy Sets and Systems, Applied Soft Computing, and Knowledge base Systems. He is associated with many professional bodies ACM, CSI, ISTE, IMS, AMTI, ISIAM, OITS, IACSIT, CSTA, and IAENG. He was founder secretary of OITS Rourkela chapter. His current research interests include rough computing, knowledge representation, bio-inspired computing, data mining, granular computing and business intelligence. V. Santhi received her Ph.D. in CSE from VIT University; M. Tech. in CSE from Pondicherry University; and B. Tech. in CSE from Bharathidasan University, India. She is currently working as Associate Professor in School of Computer Science and Engineering, VIT University. She has 18 years of experience in academic and 3 years of experience in Industry. She had served as Head of Department for more than eight years in engineering colleges. She has received research award for publishing research papers in refereed Journals from VIT University 3 times consecutively. She has guided more than 80 graduate projects and more than 50 post graduate level projects. Her publications are indexed in IEEE Computer Society, SPIE Digital Library, NASA Astrophysics Data Systems, SCOPUS and ACM Digital Library. She is a reviewer of IEEE Transaction on Multimedia Security, IEEE Transaction on Image Processing, IET–Image Processing, International Journal of Information and Computer Security. She is member of IEEE Signal Processing Society, CSI and IACSIT. She has published many papers in refereed Journals and in International Conferences. She has contributed many chapters and currently in the process of editing books. Her current research include digital image processing, digital signal processing, multimedia security, soft computing, bio-Inspired computing, and remote sensing.  

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