Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition
- 9h 22m
- Hamid R. Arabnia, Leonidas Deligiannidis
- Elsevier Science and Technology Books, Inc.
- 2015
Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at its core consists of three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition. There is significant renewed interest in each of these three fields fueled by Big Data and Data Analytic initiatives including but not limited to; applications as diverse as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. These three core topics discussed here provide a solid introduction to image processing along with low-level processing techniques, computer vision fundamentals along with examples of applied applications and pattern recognition algorithms and methodologies that will be of value to the image processing and computer vision research communities.
Drawing upon the knowledge of recognized experts with years of practical experience and discussing new and novel applications Editors’ Leonidas Deligiannidis and Hamid Arabnia cover;
- Many perspectives of image processing spanning from fundamental mathematical theory and sampling, to image representation and reconstruction, filtering in spatial and frequency domain, geometrical transformations, and image restoration and segmentation
- Key application techniques in computer vision some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication
- Pattern recognition algorithms including but not limited to; Supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms.
- How to use image processing and visualization to analyze big data.
- Discusses novel applications that can benefit from image processing, computer vision and pattern recognition such as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering.
- Covers key application techniques in computer vision from fundamentals to mid to high level processing some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication.
- Presents a number of pattern recognition algorithms and methodologies including but not limited to; supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms.
- Explains how to use image processing and visualization to analyze big data.
About the Authors
Leonidas Deligiannidis is a Professor of Computer Science and Networking at Wentworth Institute of Technology in Boston. His research examines Image Processing, Network Security and Information Visualization. Deligiannidis earned his PhD in Computer Science at Tufts University.
Hamid R. Arabnia is currently a Full Professor of Computer Science at University of Georgia where he has been since October 1987. His research interests include Parallel and distributed processing techniques and algorithms, interconnection networks, and applications in Computational Science and Computational Intelligence (in particular, in image processing, medical imaging, bioinformatics, and other computational intensive problems). Dr. Arabnia is Editor-in-Chief of The Journal of is Associate Editor of IEEE Transactions on Information Technology in Biomedicine. He has over 300 publications (journals, proceedings, editorship) in his area of research in addition he has edited two titles Emerging Trends in ICT Security (Elsevier 2013), and Advances in Computational Biology (Springer 2012)
In this Book
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Introduction
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Denoising Camera Data—Shape-Adaptive Noise Reduction for Color Filter Array Image Data
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An Approach to Classifying Four-Part Music in Multidimensional Space
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Measuring Rainbow Trout by using Simple Statistics
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Fringe Noise Removal of Retinal Fundus Images using Trimming Regions
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pSQ—Image Quantizer Based on Contrast Band-Pass Filtering
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Rebuilding IVUS Images from Raw Data of the RF Signal Exported by IVUS Equipment
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XSET—Image Coder Based on Contrast Band-Pass Filtering
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Security Surveillance Applications Utilizing Parallel Video-Processing Techniques in the Spatial Domain
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Highlight Image Filter Significantly Improves Optical Character Recognition on Text Images
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A Study on the Relationship between Depth Map Quality and Stereoscopic Image Quality using Upsampled Depth Maps
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ρGBbBShift—Method for Introducing Perceptual Criteria to Region of Interest Coding
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DT-Binarize—A Decision Tree based Binarization for Protein Crystal Images
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Automatic Mass Segmentation Method in Mammograms based on Improved VFC Snake Model
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Correction of Intensity Nonuniformity in Breast MR Images
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Traffic Control by Digital Imaging Cameras
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Night Color Image Enhancement via Statistical Law and Retinex
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Trajectory Evaluation and Behavioral Scoring using JAABA in a Noisy System
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An Algorithm for Mobile Vision-Based Localization of Skewed Nutrition Labels That Maximizes Specificity
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A Rough Fuzzy Neural Network Approach for Robust Face Detection and Tracking
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A Content-based Image Retrieval Approach based on Document Queries
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Optical Flow-Based Representation for Video Action Detection
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Anecdotes Extraction from Webpage Context as Image Annotation
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Automatic Estimation of a Resected Liver Region using a Tumor Domination Ratio
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Gesture Recognition in Cooking Video based on Image Features and Motion Features using Bayesian Network Classifier
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Biometric Analysis for Finger Vein Data—Two-Dimensional Kernel Principal Component Analysis
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A Local Feature-Based Facial Expression Recognition System from Depth Video
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Automatic Classification of Protein Crystal Images
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Semi-Automatic Teeth Segmentation in 3D Models of Dental Casts using a Hybrid Methodology
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Effective Finger Vein-Based Authentication—Kernel Principal Component Analysis
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Detecting Distorted and Benign Blood Cells using the Hough Transform based on Neural Networks and Decision Trees
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Improving Performance with Different Length Templates using Both of Correlation and Absolute Difference on Similar Play Estimation
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Surface Registration by Markers Guided Nonrigid Iterative Closest Points Algorithm
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An Affine Shape Constraint for Geometric Active Contours
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A Topological Approach for Detection of Chessboard Patterns for Camera Calibration
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Precision Distortion Correction Technique based on FOV Model for Wide-Angle Cameras in Automotive Sector
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Distances and Kernels based on Cumulative Distribution Functions
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Practical Issues for Binary Code Pattern Unwrapping in Fringe Projection Method
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Detection and Matching of Object using Proposed Signature
