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Author : Steven M. LaValle
Publisher :
ISBN 13 :
Total Pages : 32 pages
Book Rating : 4.:/5 (66 download)
Download or read book Image Segmentation Using a Bayesian Region Merging Probability written by Steven M. LaValle and published by . This book was released on 1993 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sunil K. Kopparapu
Publisher : Springer Science & Business Media
ISBN 13 : 0306469960
Total Pages : 137 pages
Book Rating : 4.3/5 (64 download)
Download or read book Bayesian Approach to Image Interpretation written by Sunil K. Kopparapu and published by Springer Science & Business Media. This book was released on 2005-11-25 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Approach to Image Interpretation will interest anyone working in image interpretation. It is complete in itself and includes background material. This makes it useful for a novice as well as for an expert. It reviews some of the existing probabilistic methods for image interpretation and presents some new results. Additionally, there is extensive bibliography covering references in varied areas. For a researcher in this field, the material on synergistic integration of segmentation and interpretation modules and the Bayesian approach to image interpretation will be beneficial. For a practicing engineer, the procedure for generating knowledge base, selecting initial temperature for the simulated annealing algorithm, and some implementation issues will be valuable. New ideas introduced in the book include: New approach to image interpretation using synergism between the segmentation and the interpretation modules. A new segmentation algorithm based on multiresolution analysis. Novel use of the Bayesian networks (causal networks) for image interpretation. Emphasis on making the interpretation approach less dependent on the knowledge base and hence more reliable by modeling the knowledge base in a probabilistic framework. Useful in both the academic and industrial research worlds, Bayesian Approach to Image Interpretation may also be used as a textbook for a semester course in computer vision or pattern recognition.
Author : Jason Whitehead
Publisher :
ISBN 13 :
Total Pages : 142 pages
Book Rating : 4.:/5 (857 download)
Download or read book Cross Domain Image Segmentation Using Statistical Region Merging and CIEDE2000 written by Jason Whitehead and published by . This book was released on 2010 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 832 pages
Book Rating : 4.:/5 (318 download)
Download or read book Proceedings written by and published by . This book was released on 1993 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Unsupervised Hierarchical Image Segmentation Based on Bayesian Sequential Partitioning and Merging written by and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Zhigang Tan
Publisher : Open Dissertation Press
ISBN 13 : 9781374706477
Total Pages : pages
Book Rating : 4.7/5 (64 download)
Download or read book A Region Merging Methodology for Color and Texture Image Segmentation written by Zhigang Tan and published by Open Dissertation Press. This book was released on 2017-01-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "A Region Merging Methodology for Color and Texture Image Segmentation" by Zhigang, Tan, 譚志剛, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b4322414 Subjects: Image processing - Digital techniques Computer vision Algorithms
Author : Alan L. Yuille
Publisher : Springer Science & Business Media
ISBN 13 : 354074195X
Total Pages : 504 pages
Book Rating : 4.5/5 (47 download)
Download or read book Energy Minimization Methods in Computer Vision and Pattern Recognition written by Alan L. Yuille and published by Springer Science & Business Media. This book was released on 2007-08-15 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition held in Ezhou, China, in August 2007. Twenty-two full papers are presented along with fifteen poster papers. The papers are organized into topical sections on algorithms, applications, image parsing, image processing, motion, shape, and three-dimensional processing.
Author :
Publisher :
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.:/5 (31 download)
Download or read book Artificial Intelligence, Technical Report UIUC-BI-AI-RCV. written by and published by . This book was released on 1992 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Amar Mitiche
Publisher : Springer
ISBN 13 : 9783642265624
Total Pages : 192 pages
Book Rating : 4.2/5 (656 download)
Download or read book Variational and Level Set Methods in Image Segmentation written by Amar Mitiche and published by Springer. This book was released on 2012-12-05 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image segmentation consists of dividing an image domain into disjoint regions according to a characterization of the image within or in-between the regions. Therefore, segmenting an image is to divide its domain into relevant components. The efficient solution of the key problems in image segmentation promises to enable a rich array of useful applications. The current major application areas include robotics, medical image analysis, remote sensing, scene understanding, and image database retrieval. The subject of this book is image segmentation by variational methods with a focus on formulations which use closed regular plane curves to define the segmentation regions and on a level set implementation of the corresponding active curve evolution algorithms. Each method is developed from an objective functional which embeds constraints on both the image domain partition of the segmentation and the image data within or in-between the partition regions. The necessary conditions to optimize the objective functional are then derived and solved numerically. The book covers, within the active curve and level set formalism, the basic two-region segmentation methods, multiregion extensions, region merging, image modeling, and motion based segmentation. To treat various important classes of images, modeling investigates several parametric distributions such as the Gaussian, Gamma, Weibull, and Wishart. It also investigates non-parametric models. In motion segmentation, both optical flow and the movement of real three-dimensional objects are studied.
Author : Bhattacharyya, Siddhartha
Publisher : IGI Global
ISBN 13 : 1466625198
Total Pages : 535 pages
Book Rating : 4.4/5 (666 download)
Download or read book Handbook of Research on Computational Intelligence for Engineering, Science, and Business written by Bhattacharyya, Siddhartha and published by IGI Global. This book was released on 2012-11-30 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using the same strategy for the needs of image processing and pattern recognition, scientists and researchers have turned to computational intelligence for better research throughputs and end results applied towards engineering, science, business and financial applications. Handbook of Research on Computational Intelligence for Engineering, Science, and Business discusses the computation intelligence approaches, initiatives and applications in the engineering, science and business fields. This reference aims to highlight computational intelligence as no longer limited to computing-related disciplines and can be applied to any effort which handles complex and meaningful information.
Author : Mustafa I. A. Jaber
Publisher :
ISBN 13 :
Total Pages : 204 pages
Book Rating : 4.:/5 (775 download)
Download or read book Probabilistic Framework for Image Understanding Applications Using Bayesian Networks written by Mustafa I. A. Jaber and published by . This book was released on 2011 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Machine learning algorithms have been successfully utilized in various systems/devices. They have the ability to improve the usability/quality of such systems in terms of intelligent user interface, fast performance, and more importantly, high accuracy. In this research, machine learning techniques are used in the field of image understanding, which is a common research area between image analysis and computer vision, to involve higher processing level of a target image to 'make sense' of the scene captured in it. A general probabilistic framework for image understanding where topics associated with (i) collection of images to generate a comprehensive and valid database, (ii) generation of an unbiased ground-truth for the aforesaid database, (iii) selection of classification features and elimination of the redundant ones, and (iv) usage of such information to test a new sample set, are discussed. Two research projects have been developed as examples of the general image understanding framework; identification of region(s) of interest, and image segmentation evaluation. These techniques, in addition to others, are combined in an object-oriented rendering system for printing applications. The discussion included in this doctoral dissertation explores the means for developing such a system from an image understanding/processing aspect. It is worth noticing that this work does not aim to develop a printing system. It is only proposed to add some essential features for current printing pipelines to achieve better visual quality while printing images/photos. Hence, we assume that image regions have been successfully extracted from the printed document. These images are used as input to the proposed object-oriented rendering algorithm where methodologies for color image segmentation, region-of-interest identification and semantic features extraction are employed. Probabilistic approaches based on Bayesian statistics have been utilized to develop the proposed image understanding techniques."--Abstract.
Author : David Heckerman
Publisher : Morgan Kaufmann
ISBN 13 : 1483214516
Total Pages : 554 pages
Book Rating : 4.4/5 (832 download)
Download or read book Uncertainty in Artificial Intelligence written by David Heckerman and published by Morgan Kaufmann. This book was released on 2014-05-12 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty in Artificial Intelligence contains the proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence held at the Catholic University of America in Washington, DC, on July 9-11, 1993. The papers focus on methods of reasoning and decision making under uncertainty as applied to problems in artificial intelligence (AI) and cover topics ranging from knowledge acquisition and automated model construction to learning, planning, temporal reasoning, and machine vision. Comprised of 66 chapters, this book begins with a discussion on causality in Bayesian belief networks before turning to a decision theoretic account of conditional ought statements that rectifies glaring deficiencies in classical deontic logic and forms a sound basis for qualitative decision theory. Subsequent chapters explore trade-offs in constructing and evaluating temporal influence diagrams; normative engineering risk management systems; additive belief-network models; and sensitivity analysis for probability assessments in Bayesian networks. Automated model construction and learning as well as algorithms for inference and decision making are also considered. This monograph will be of interest to both students and practitioners in the fields of AI and computer science.
Author : Wilfried Philips
Publisher : Springer
ISBN 13 : 3540746072
Total Pages : 1120 pages
Book Rating : 4.5/5 (47 download)
Download or read book Advanced Concepts for Intelligent Vision Systems written by Wilfried Philips and published by Springer. This book was released on 2007-08-18 with total page 1120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2007, held in Delft, The Netherlands, August 2007. Coverage includes noise reduction and restoration, segmentation, motion estimation and tracking, video processing and coding, camera calibration, image registration and stereo matching, biometrics and security, medical imaging, image retrieval, as well as classification and recognition.
Author : Andrei Bogdan Ungureanu
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)
Download or read book Unsupervised Image Segmentation Using Nonparametric Bayesian Models written by Andrei Bogdan Ungureanu and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Felipe Calderero Patino
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (84 download)
Download or read book Information Theoretical Region Merging Approaches and Fusion of Hierarchical Image Segmentation Results written by Felipe Calderero Patino and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Zhigang Tan (Ph. D.)
Publisher :
ISBN 13 :
Total Pages : 144 pages
Book Rating : 4.:/5 (52 download)
Download or read book A Region Merging Methodology for Color and Texture Image Segmentation written by Zhigang Tan (Ph. D.) and published by . This book was released on 2009 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : International Business Machines Corporation. Research Division
Publisher :
ISBN 13 :
Total Pages : 46 pages
Book Rating : 4.:/5 (35 download)
Download or read book MDL-based Multi-band Image Segmentation Using a Fast Region Merging Scheme written by International Business Machines Corporation. Research Division and published by . This book was released on 1995 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:
