The Autonomous Image:Cinematic Narration and Humanism Armando J. Prats
Processing Imagery for Low-Cost Autonomous Remote Sensing Platforms:A Geospatial Real-Time Aerial Image Display for a Low-Cost Autonomous Multispectral Remote Sensing Platform (AggieAir) Austin Jensen
This book is a collection of all the experimental results and analysis carried out on medical images of diabetic related causes. The experimental investigations have been carried out on images starting from very basic image processing techniques such as image enhancement to sophisticated image segmentation methods. This book is intended to create an awareness on diabetes and its related causes and image processing methods used to detect and forecast in a very simple way. This book is useful to researchers, Engineers, Medical Doctors and Bioinformatics researchers. Dr. Amit Kumar is the CEO and Chief Scientific Officer of BioAxis DNA Research Centre (BDRC) Pvt Ltd. His research interests are in the field of Reverse Vaccinology, Forensic Bioinformatics, DNA Forensics, Rational drug discovery, Forensic Criminology and Police Administration etc. He also serves as the Chairman of IEEE Computational Intelligence Society, IEEE Hyderabad Section and the Treasurer for IEEE Hyderabad Section. Mr. Fahimuddin Shaik is with Annamacharya Institute of Technology & Sciences (an Autonomous Institute), Rajampet, A.P., India working as an Assistant Professor in Dept. of ECE. He is BOS Member of the Department and also held a position as the Academic Council Member of the Institute. His research interests include Signal Processing, Time Series Analysis and Biomedical Image Processing. He chaired a Session at IEEE International Conference (ICMET-2010) held in Singapore on Sep11th 2010.He has authored a book called Medical Imaging in Diabetes in 2011.
This book highlights recent findings on and analyses conducted on signals and images in the area of medicine. The experimental investigations involve a variety of signals and images and their methodologies range from very basic to sophisticated methods. The book explains how signal and image processing methods can be used to detect and forecast abnormalities in an easy-to-follow manner, offering a valuable resource for researchers, engineers, physicians and bioinformatics researchers alike. Dr. Amit Kumar is the CEO and Chief Scientific Officer of BioAxis DNA Research Centre (BDRC) Pvt Ltd. His research interests are in the field of Reverse Vaccinology, Forensic Bioinformatics, DNA Forensics, Rational drug discovery, Forensic Criminology and Police Administration etc. He also serves as the Chairman of IEEE Computational Intelligence Society, IEEE Hyderabad Section and the Treasurer for IEEE Hyderabad Section. Mr. Fahimuddin Shaik is with Annamacharya Institute of Technology & Sciences (an Autonomous Institute), Rajampet, A.P., India working as an Assistant Professor in Dept. of ECE. He is BOS Member of the Department and also held a position as the Academic Council Member of the Institute. His research interests include Signal Processing, Time Series Analysis and Biomedical Image Processing. He chaired a Session at IEEE International Conference (ICMET-2010) held in Singapore on 11 September 2010. He also authored a book called Medical Imaging in Diabetes in 2011. Mr. B Abdul Rahim is with Annamacharya Institute of Technology & Sciences (an Autonomous Institute), Rajampet, A.P., India working as Professor and Head, Dept. of ECE. He received the B.E in Electronics & Communication Engineering from Gulbarga University in 1990. M.Tech (Digital Systems &Computer Electronics) from Jawaharlal Nehru Technological University in 2004 and PGDVLSI from Annamalai University, Chennai. He is BOS chairman of the department and Ex-officio Member of Academic Council of the Institute. He is a member of professional bodies like IEEE, EIE, ISTE, IACSIT, IAENG etc. His research interests include Fault Tolerant Systems, Embedded Systems and parallel processing. He achieved Best Teacher Award for his services by Lions Club, Rajampet. Sravan Kumar D is with Cognizant Technology Solutions , New Jersy, USA. He is having 8+ years of technical expertise in providing solution designs and developing Enterprise and web applications using Java/J2EE technologies and 3+ years of lead experience. He has a rack record of delivering quality Java/JEE based solutions/portals in the Travel, Education, Automobiles and Healthcare.
This edited volume contains technical contributions in the field of computer vision and image processing presented at the First International Conference on Computer Vision and Image Processing (CVIP 2016). The contributions are thematically divided based on their relation to operations at the lower, middle and higher levels of vision systems, and their applications. The technical contributions in the areas of sensors, acquisition, visualization and enhancement are classified as related to low-level operations. They discuss various modern topics - reconfigurable image system architecture, Scheimpflug camera calibration, real-time autofocusing, climate visualization, tone mapping, super-resolution and image resizing. The technical contributions in the areas of segmentation and retrieval are classified as related to mid-level operations. They discuss some state-of-the-art techniques - non-rigid image registration, iterative image partitioning, egocentric object detection and video shot boundary detection. The technical contributions in the areas of classification and retrieval are categorized as related to high-level operations. They discuss some state-of-the-art approaches - extreme learning machines, and target, gesture and action recognition. A non-regularized state preserving extreme learning machine is presented for natural scene classification. An algorithm for human action recognition through dynamic frame warping based on depth cues is given. Target recognition in night vision through convolutional neural network is also presented. Use of convolutional neural network in detecting static hand gesture is also discussed. Finally, the technical contributions in the areas of surveillance, coding and data security, and biometrics and document processing are considered as applications of computer vision and image processing. They discuss some contemporary applications. A few of them are a system for tackling blind curves, a quick reaction target acquisition and tracking system, an algorithm to detect for copy-move forgery based on circle block, a novel visual secret sharing scheme using affine cipher and image interleaving, a finger knuckle print recognition system based on wavelet and Gabor filtering, and a palmprint recognition based on minutiae quadruplets. Dr. R. Balasubramanian is currently an associate professor in the department of Computer Science and Engineering at IIT Roorkee, India. He completed his Ph.D. (Mathematics and Computer Science) from Indian Institute of Technology Madras, Chennai in 2001. His areas of interest include Computer Vision - Optical Flow Problems, Fractional Transform Theory, Wavelet Analysis, Image and Video Processing, Multimedia Security: Digital Image Watermarking and Encryption, Biometrics, Content Based Image and Video Retrieval, Hyperspectral and Microwave Imaging and Visualization, Volume Graphics. He has published over 80 papers in refereed journal and contributed 7 chapters in books. Dr. Sanjeev Kumar is an assistant professor of Mathematics at IIT Roorkee, India. His areas of interest are Computer Vision & Mathematical Imaging, Inverse Problems, and Machine Learning, He completed his Ph.D. in mathematics from IIT Roorkee in 2008. He is a member of IEEE Computer Society and International Association of Pattern Recognition and life member of ACEEE and IACSIT. He has got over 40 papers published in journals as well as conference proceedings. Dr. Partha Pratim Roy is an assistant professor of Computer Science and Engineering at IIT Roorkee, India. Before joining IIT Roorkee, he has worked with Samsung Research Institute Noida as chief engineer. He did his Ph.D. in Computer Science and Engineering (2010) from Autonomous University of Barcelona, Spain. He has got seve ral papers published in journals and international conference proceedings. His interest areas include Pattern Recognition, Multilingual Text Recognition, Biometrics, Identification and Verification of Signature, Fingerprint, etc., Computer Vision, Image Segmentation, Machine Learning, and Hidden Markov Model. Dr. Debashis Sen is Assistant Professor, Electronics & Electrical Communication Engineering at IIT Kharagpur, India. He did his Ph.D in Engineering (Image Processing) from Jadavpur University, Kolkata in 2011. He has got 12 papers published in journals, 13 in conference proceedings and 1 book chapter. His research areas are Vision Image and Video Processing, Uncertainty Handling, Bio-inspired Computation, Eye
The aspiration of this research work is to design vision based intelligent mobile robot navigation techniques to capacitate an autonomous robot to navigate in indoor/outdoor environments. The images from mobile robot, accoutered with a camera, are preproc
The ability to extract generic 3D objects from images is a crucial step towards automation of a variety of problems in cartographic database compilation, industrial inspection and assembly, and autonomous navigation. Many of these problem domains do no
The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include: · Human Action Recognition: Contour-Based and Silhouette-based Approaches. · The Application of Machine Learning Techniques to Real Time Audience Analysis System. · Panorama Construction from Multi-view Cameras in Outdoor Scenes. · A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control. · Perception of Audio Visual Information for Mobile Robot Motion Control Systems. · Adaptive Surveillance Algorithms Based on the Situation Analysis. · Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation. · Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing. · Efficient Denoising Algorithms for Intelligent Recognition Systems. · Image Segmentation Based on Two-dimensional Markov Chains. The book is directed to the PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.
This book presents a careful selection of the contributions presented at the Mathematical Methods in Engineering (MME10) International Symposium, held at the Polytechnic Institute of Coimbra- Engineering Institute of Coimbra (IPC/ISEC), Portugal, October 21-24, 2010. The volume discusses recent developments about theoretical and applied mathematics toward the solution of engineering problems, thus covering a wide range of topics, such as: Automatic Control, Autonomous Systems, Computer Science, Dynamical Systems and Control, Electronics, Finance and Economics, Fluid Mechanics and Heat Transfer, Fractional Mathematics, Fractional Transforms and Their Applications, Fuzzy Sets and Systems, Image and Signal Analysis, Image Processing, Mechanics, Mechatronics, Motor Control and Human Movement Analysis, Nonlinear Dynamics, Partial Differential Equations, Robotics, Acoustics, Vibration and Control, and Wavelets.