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 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

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