ADVANCES IN INTELLIGENT INFORMATION PROCESSING: TOOLS AND APPLICATIONS

The book deals with several key aspects of developing technologies in information processing systems. It explains various problems related to advanced image processing systems and describes some of the latest state-of-the-art techniques in solving them. Particularly, the recent advances in image and video processing are covered thoroughly with real-life applications. Some of the latest topics like rough fuzzy hybridization and knowledge reuse in computational intelligence are included adequately.

Contents: Non-parametric Mixture Model Based Evolution of Level Sets (N Joshi & M Brady); Pattern Generation Using Level Set Based Curve Evolution (A Chattopadhyay & D P Mukherjee); Stable Contour Tracking Through Tangential Evolution (V Srikrishnan & S Chaudhuri); Information Theoretic Approaches for Next Best View Planning in Active Computer Vision (C Derichs et al.); Evaluation of Linear Combination of Views for Object Recognition (V Zografos & B F Buxton); Using Object Models as Domain Knowledge in Perceptual Organization (G Harit et al.); Image Representations Based on Discriminant Non-negative Matrix Factorization (I Buciu & I Pitas); Duplicate Image Detection in Large Scale Databases (P Ghosh et al.); Unsupervised Change Detection Techniques Based on Self-Organizing Feature Map Neural Network (S Patra et al.); Recent Advances in Video Compression (L Liu et al.); Hardware Architecture for Ridge Extraction in Fingerprints (A Bishnu et al.); Rough-Fuzzy Hybridization for Protein Sequence Analysis (P Maji & S K Pal); Knowledge Reuse in the Design of Models of Computational Intelligence (W Pedrycz).