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Author : Zhanyu Wu
Publisher :
ISBN 13 :
Total Pages : 252 pages
Book Rating : 4.:/5 (314 download)
Download or read book Hierarchical and Graph Theoretic Approaches to Image Segmentation and Pattern Classification written by Zhanyu Wu and published by . This book was released on 1992 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Abraham Kandel
Publisher : Springer
ISBN 13 : 3540680209
Total Pages : 265 pages
Book Rating : 4.5/5 (46 download)
Download or read book Applied Graph Theory in Computer Vision and Pattern Recognition written by Abraham Kandel and published by Springer. This book was released on 2007-04-11 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents novel graph-theoretic methods for complex computer vision and pattern recognition tasks. It presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications, and provides detailed descriptions of several applications of graph-based methods to real-world pattern recognition tasks.
Author : Hasan Ahmed
Publisher :
ISBN 13 :
Total Pages : 204 pages
Book Rating : 4.:/5 (644 download)
Download or read book Hierarchical Image Segmentation Using a Graph Theoretic Approach written by Hasan Ahmed and published by . This book was released on 1997 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Xiaoyi Jiang
Publisher : Springer
ISBN 13 : 3642208444
Total Pages : 355 pages
Book Rating : 4.6/5 (422 download)
Download or read book Graph-Based Representations in Pattern Recognition written by Xiaoyi Jiang and published by Springer. This book was released on 2011-05-05 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2011, held in Münster, Germany, in May 2011. The 34 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on graph-based representation and characterization, graph matching, classification, and querying, graph-based learning, graph-based segmentation, and applications.
Author : Luc Brun
Publisher : Springer Science & Business Media
ISBN 13 : 3540252703
Total Pages : 395 pages
Book Rating : 4.5/5 (42 download)
Download or read book Graph-Based Representations in Pattern Recognition written by Luc Brun and published by Springer Science & Business Media. This book was released on 2005-03-23 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th IAPR International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2005, held in Poitiers, France in April 2005. The 18 revised full papers and 17 revised poster papers presented were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections on graph representations, graphs and linear representations, combinatorial maps, matching, hierarchical graph abstraction and matching, inexact
Author : Georgy Gimel ́farb
Publisher : Springer
ISBN 13 : 3642341667
Total Pages : 770 pages
Book Rating : 4.6/5 (423 download)
Download or read book Structural, Syntactic, and Statistical Pattern Recognition written by Georgy Gimel ́farb and published by Springer. This book was released on 2012-10-22 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2012) and Statistical Techniques in Pattern Recognition (SPR 2012), held in Hiroshima, Japan, in November 2012 as a satellite event of the 21st International Conference on Pattern Recognition, ICPR 2012. The 80 revised full papers presented together with 1 invited paper and the Pierre Devijver award lecture were carefully reviewed and selected from more than 120 initial submissions. The papers are organized in topical sections on structural, syntactical, and statistical pattern recognition, graph and tree methods, randomized methods and image analysis, kernel methods in structural and syntactical pattern recognition, applications of structural and syntactical pattern recognition, clustering, learning, kernel methods in statistical pattern recognition, kernel methods in statistical pattern recognition, as well as applications of structural, syntactical, and statistical methods.
Author : André Gagalowicz
Publisher : Springer Science & Business Media
ISBN 13 : 3540289690
Total Pages : 881 pages
Book Rating : 4.5/5 (42 download)
Download or read book Computer Analysis of Images and Patterns written by André Gagalowicz and published by Springer Science & Business Media. This book was released on 2005-08-30 with total page 881 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the 11th International Conference on Computer Analysis of Images and Patterns (CAIP 2005). This conference - ries started about 20 years ago in Berlin. Initially, the conference served as a forum for meetings between scientists from Western and Eastern-block co- tries. Nowadays, the conference attracts participants from all over the world. The conference gives equal weight to posters and oral presentations, and the selected presentation mode is based on the most appropriate communication medium. The program follows a single-track format, rather than parallel s- sions. Non-overlapping oral and poster sessions ensure that all attendees have the opportunity to interact personally with presenters. As for the numbers, we received a total of 185 submissions. All papers were reviewed by two to four members of the Program Committee. The ?nal selection was carried out by the Conference Chairs. Out of the 185 papers, 65 were - lected for oral presentation and 43 as posters. CAIP is becoming well recognized internationally, and this year’s presentations came from 26 di?erent countries. South Korea proved to be the most active scienti?cally with a total of 16 - cepted papers. At this point, we wish to thank the Program Committee and additional referees for their timely and high-quality reviews. The paper s- mission and review procedure was carried out electronically. We also thank the invited speakers Reinhardt Koch and Thomas Vetter for kindly accepting to present invited papers.
Author : Yll Haxhimusa
Publisher : IOS Press
ISBN 13 : 9783898383080
Total Pages : 222 pages
Book Rating : 4.3/5 (83 download)
Download or read book The Structurally Optimal Dual Graph Pyramid and Its Application in Image Partitioning written by Yll Haxhimusa and published by IOS Press. This book was released on 2007 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ana Fred
Publisher : Springer Science & Business Media
ISBN 13 : 3540225706
Total Pages : 1187 pages
Book Rating : 4.5/5 (42 download)
Download or read book Structural, Syntactic, and Statistical Pattern Recognition written by Ana Fred and published by Springer Science & Business Media. This book was released on 2004-07-28 with total page 1187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2004 and the 5th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2004, held jointly in Lisbon, Portugal, in August 2004. The 59 revised full papers and 64 revised poster papers presented together with 4 invited papers were carefully reviewed and selected from 219 submissions. The papers are organized in topical sections on graphs; visual recognition and detection; contours, lines, and paths; matching and superposition; transduction and translation; image and video analysis; syntactics, languages, and strings; human shape and action; sequences and graphs; pattern matching and classification; document image analysis; shape analysis; multiple classifier systems; density estimation; clustering; feature selection; classification; and representation.
Author : Pasquale Foggia
Publisher : Springer
ISBN 13 : 331958961X
Total Pages : 290 pages
Book Rating : 4.3/5 (195 download)
Download or read book Graph-Based Representations in Pattern Recognition written by Pasquale Foggia and published by Springer. This book was released on 2017-05-08 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern Recognition, GbRPR 2017, held in Anacapri, Italy, in May 2017. The 25 full papers and 2 abstracts of invited papers presented in this volume were carefully reviewed and selected from 31 submissions. The papers discuss research results and applications in the intersection of pattern recognition, image analysis, graph theory, and also the application of graphs to pattern recognition problems in other fields like computational topology, graphic recognition systems and bioinformatics.
Author : Andrea Torsello
Publisher : Springer Science & Business Media
ISBN 13 : 3642021247
Total Pages : 387 pages
Book Rating : 4.6/5 (42 download)
Download or read book Graph-Based Representations in Pattern Recognition written by Andrea Torsello and published by Springer Science & Business Media. This book was released on 2009-07-09 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2009, held in Venice, Italy in May 2009. The 37 revised full papers presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on graph-based representation and recognition, graph matching, graph clustering and classification, pyramids, combinatorial maps, and homologies, as well as graph-based segmentation.
Author : Yun Fu
Publisher : Springer Science & Business Media
ISBN 13 : 1461444578
Total Pages : 264 pages
Book Rating : 4.4/5 (614 download)
Download or read book Graph Embedding for Pattern Analysis written by Yun Fu and published by Springer Science & Business Media. This book was released on 2012-11-19 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field.
Author : Prasad Thenkabail
Publisher : CRC Press
ISBN 13 : 1482282674
Total Pages : 2304 pages
Book Rating : 4.4/5 (822 download)
Download or read book Remote Sensing Handbook - Three Volume Set written by Prasad Thenkabail and published by CRC Press. This book was released on 2018-10-03 with total page 2304 pages. Available in PDF, EPUB and Kindle. Book excerpt: A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Land Reso
Author : Abraham Kandel
Publisher : Springer Science & Business Media
ISBN 13 : 3540680195
Total Pages : 265 pages
Book Rating : 4.5/5 (46 download)
Download or read book Applied Graph Theory in Computer Vision and Pattern Recognition written by Abraham Kandel and published by Springer Science & Business Media. This book was released on 2007-03-12 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents novel graph-theoretic methods for complex computer vision and pattern recognition tasks. It presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications, and provides detailed descriptions of several applications of graph-based methods to real-world pattern recognition tasks.
Author : Ullrich Köthe
Publisher : Springer
ISBN 13 : 3642323138
Total Pages : 175 pages
Book Rating : 4.6/5 (423 download)
Download or read book Applications of Discrete Geometry and Mathematical Morphology written by Ullrich Köthe and published by Springer. This book was released on 2012-07-30 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the first Workshop on Applications of Discrete Geometry and Mathematical Morphology, WADGMM 2010, held at the International Conference on Pattern Recognition in Istanbul, Turkey, in August 2010. The 11 revised full papers presented were carefully reviewed and selected from 25 submissions. The book was specifically designed to promote interchange and collaboration between experts in discrete geometry/mathematical morphology and potential users of these methods from other fields of image analysis and pattern recognition.
Author : Olivier Lezoray
Publisher : CRC Press
ISBN 13 : 1439855080
Total Pages : 570 pages
Book Rating : 4.4/5 (398 download)
Download or read book Image Processing and Analysis with Graphs written by Olivier Lezoray and published by CRC Press. This book was released on 2017-07-12 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications. Explores new applications in computational photography, image and video processing, computer graphics, recognition, medical and biomedical imaging With the explosive growth in image production, in everything from digital photographs to medical scans, there has been a drastic increase in the number of applications based on digital images. This book explores how graphs—which are suitable to represent any discrete data by modeling neighborhood relationships—have emerged as the perfect unified tool to represent, process, and analyze images. It also explains why graphs are ideal for defining graph-theoretical algorithms that enable the processing of functions, making it possible to draw on the rich literature of combinatorial optimization to produce highly efficient solutions. Some key subjects covered in the book include: Definition of graph-theoretical algorithms that enable denoising and image enhancement Energy minimization and modeling of pixel-labeling problems with graph cuts and Markov Random Fields Image processing with graphs: targeted segmentation, partial differential equations, mathematical morphology, and wavelets Analysis of the similarity between objects with graph matching Adaptation and use of graph-theoretical algorithms for specific imaging applications in computational photography, computer vision, and medical and biomedical imaging Use of graphs has become very influential in computer science and has led to many applications in denoising, enhancement, restoration, and object extraction. Accounting for the wide variety of problems being solved with graphs in image processing and computer vision, this book is a contributed volume of chapters written by renowned experts who address specific techniques or applications. This state-of-the-art overview provides application examples that illustrate practical application of theoretical algorithms. Useful as a support for graduate courses in image processing and computer vision, it is also perfect as a reference for practicing engineers working on development and implementation of image processing and analysis algorithms.
Author : Tao Lei
Publisher : John Wiley & Sons
ISBN 13 : 1119859034
Total Pages : 340 pages
Book Rating : 4.1/5 (198 download)
Download or read book Image Segmentation written by Tao Lei and published by John Wiley & Sons. This book was released on 2022-09-26 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image Segmentation Summarizes and improves new theory, methods, and applications of current image segmentation approaches, written by leaders in the field The process of image segmentation divides an image into different regions based on the characteristics of pixels, resulting in a simplified image that can be more efficiently analyzed. Image segmentation has wide applications in numerous fields ranging from industry detection and bio-medicine to intelligent transportation and architecture. Image Segmentation: Principles, Techniques, and Applications is an up-to-date collection of recent techniques and methods devoted to the field of computer vision. Covering fundamental concepts, new theories and approaches, and a variety of practical applications including medical imaging, remote sensing, fuzzy clustering, and watershed transform. In-depth chapters present innovative methods developed by the authors—such as convolutional neural networks, graph convolutional networks, deformable convolution, and model compression—to assist graduate students and researchers apply and improve image segmentation in their work. Describes basic principles of image segmentation and related mathematical methods such as clustering, neural networks, and mathematical morphology. Introduces new methods for achieving rapid and accurate image segmentation based on classic image processing and machine learning theory. Presents techniques for improved convolutional neural networks for scene segmentation, object recognition, and change detection, etc. Highlights the effect of image segmentation in various application scenarios such as traffic image analysis, medical image analysis, remote sensing applications, and material analysis, etc. Image Segmentation: Principles, Techniques, and Applications is an essential resource for undergraduate and graduate courses such as image and video processing, computer vision, and digital signal processing, as well as researchers working in computer vision and image analysis looking to improve their techniques and methods.
