Computer Vision and Robotic is one of the most challenging areas of 21st century. Its application ranges from Agriculture to Medicine, Household applications to Humanoid, Deep-sea-application to Space application, and Industry applications to Man-less-plant. Today’s technologies demand to produce intelligent machine, which are enabling applications in various domains and services. Robotics is one such area which encompasses number of technology in it and its application is widespread. Computational vision or Machine vision is one of the most challenging tools for the robot to make it intelligent. This volume covers chapters from various areas of Computational Vision such as Image and Video Coding and Analysis, Image Watermarking, Noise Reduction and Cancellation, Block Matching and Motion Estimation, Tracking of Deformable Object using Steerable Pyramid Wavelet Transformation, Medical Image Fusion, CT and MRI Image Fusion based on Stationary Wavelet Transform. The book also covers articles from applications of soft computing techniques such as Target Searching and Tracking using Particle Swarm Optimization, PSO-based Functional Artificial Neural Network, etc. The book also covers article from the areas of Robotics such as Solar Power Robot Vehicle, Multi Robot Area Exploration, Intelligent Driving System based on Video Sequencing, Emotion Recognition using MLP Network, Identifying the Unstructured Environment.
Jadual kandungan
Tracking of Deformable Object in Complex Video Using Steerable Pyramid Wavelet Transform.- Use of Different Features for Emotion Recognition Using MLP Network.- Rectangular Array Languages Generated by a Petri Net.- Medical Image Fusion Using Local Energy in Non-subsampled Contourlet Transform Domain.- Machine Learning and Its Application in Software Fault Prediction with Similarity Measures.- Various Strategies and Technical Aspects of Data Mining: A Theoretical Approach.- CBDF Based Target Searching and Tracking Using Particle Swarm Optimization.- Real Time Noise Canceller Using Modified Sigmoid Function RLS Algorithm.- Multi-scale Local Binary Patterns for Facial Expression based Human Emotion Recognition.- Development of a New Algorithm based on SVD for Image Watermarking.- Nonlinear System Identification Using Clonal PSO Based Functional Artificial Neural Network.- A Steganography Scheme Using SVD Compressed Cover Image.- Particle Swarm Optimization based Functional Link Artificial Neural Network for Medical Image Denoising.- Multi Robot Area Exploration Using Particle Swarm Optimization with the help of CBDF based Robot Scattering.- R-D Optimization of EED Based Compressed Image Using Linear Regression.- Comparative Analysis of Image de-blurring with Radial Basis Functions in Artificial Neural Network.- A Hybrid Approach for Iris Recognition in Unconstrained Environment.- Fractal Video Coding Using Modified Three-Step Search algorithm for Block Matching Motion Estimation.- Designing and Development of an Autonomous Solar Powered Robotic Vehicle.- SONIC: Stability of Nodes in Cooperative Caching for Wireless Network.- Advanced Energy Sensing Techniques Implemented Through Source Number Detection for Spectrum Sensing in Cognitive Radio.- Dynamic Load Balancing for Video Processing System in Cloud.- CT and MRI Image Fusion based on Stationary Wavelet Transform by Modulus Maxima.- A Real Time Intelligent Alarm System on Driver Fatigue based on Video Sequence.- An Efficient Android based Body Area Network System for Monitoring and Evaluation of Patients in Medical Care.- An Efficient Kernelized Fuzzy Possibilistic C-Means for High Dimensional Data Clustering.
Mengenai Pengarang
Ishwar K. Sethi is currently a professor in the Department of Computer Science and Engineering at Oakland University in Rochester, Michigan, where he served as the chair of the department from 1999 to 2010. From 1982 to 1999, he was with the Department of Computer Science at Wayne State University, Detroit, Michigan. Before that, he was a faculty member at Indian Institute of Technology, Kharagpur, India, where he received his Ph.D. degree in 1978. His current research interests are in data mining, pattern classification, multimedia information indexing and retrieval, and social media analysis. He has graduated 24 doctoral students and has authored or coauthored over 160 journal and conference articles. He has served on the editorial boards of several prominent journals including IEEE Trans. Pattern Analysis and Machine Intelligence, and IEEE Multimedia. He was elected IEEE Fellow in 2001 for his contributions in artificial neural networks and statistical pattern recognition.
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