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Author :
Publisher :
ISBN 13 : 9789155480370
Total Pages : 61 pages
Book Rating : 4.4/5 (83 download)
Download or read book Graph-based Methods for Interactive Image Segmentation written by and published by . This book was released on 2011 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jia He
Publisher : Springer Science & Business Media
ISBN 13 : 9814451606
Total Pages : 82 pages
Book Rating : 4.8/5 (144 download)
Download or read book Interactive Segmentation Techniques written by Jia He and published by Springer Science & Business Media. This book was released on 2013-08-31 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on interactive segmentation techniques, which have been extensively studied in recent decades. Interactive segmentation emphasizes clear extraction of objects of interest, whose locations are roughly indicated by human interactions based on high level perception. This book will first introduce classic graph-cut segmentation algorithms and then discuss state-of-the-art techniques, including graph matching methods, region merging and label propagation, clustering methods, and segmentation methods based on edge detection. A comparative analysis of these methods will be provided with quantitative and qualitative performance evaluation, which will be illustrated using natural and synthetic images. Also, extensive statistical performance comparisons will be made. Pros and cons of these interactive segmentation methods will be pointed out, and their applications will be discussed. There have been only a few surveys on interactive segmentation techniques, and those surveys do not cover recent state-of-the art techniques. By providing comprehensive up-to-date survey on the fast developing topic and the performance evaluation, this book can help readers learn interactive segmentation techniques quickly and thoroughly.
Author : Bai, Xiao
Publisher : IGI Global
ISBN 13 : 1466618922
Total Pages : 395 pages
Book Rating : 4.4/5 (666 download)
Download or read book Graph-Based Methods in Computer Vision: Developments and Applications written by Bai, Xiao and published by IGI Global. This book was released on 2012-07-31 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision, the science and technology of machines that see, has been a rapidly developing research area since the mid-1970s. It focuses on the understanding of digital input images in many forms, including video and 3-D range data. Graph-Based Methods in Computer Vision: Developments and Applications presents a sampling of the research issues related to applying graph-based methods in computer vision. These methods have been under-utilized in the past, but use must now be increased because of their ability to naturally and effectively represent image models and data. This publication explores current activity and future applications of this fascinating and ground-breaking topic.
Download or read book Son premier succès. Le film complet : ciné-roman written by and published by . This book was released on 1927 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yanhui Guo
Publisher : Infinite Study
ISBN 13 :
Total Pages : 25 pages
Book Rating : 4./5 ( download)
Download or read book An Efficient Image Segmentation Algorithm Using Neutrosophic Graph Cut written by Yanhui Guo and published by Infinite Study. This book was released on with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: Segmentation is considered as an important step in image processing and computer vision applications, which divides an input image into various non-overlapping homogenous regions and helps to interpret the image more conveniently. This paper presents an efficient image segmentation algorithm using neutrosophic graph cut (NGC).
Author : Alexandre Xavier Falcao
Publisher : Elsevier
ISBN 13 : 0128226889
Total Pages : 244 pages
Book Rating : 4.1/5 (282 download)
Download or read book Optimum-Path Forest written by Alexandre Xavier Falcao and published by Elsevier. This book was released on 2022-01-24 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimum-Path Forest: Theory, Algorithms, and Applications was first published in 2008 in its supervised and unsupervised versions with applications in medicine and image classification. Since then, it has expanded to a variety of other applications such as remote sensing, electrical and petroleum engineering, and biology. In recent years, multi-label and semi-supervised versions were also developed to handle video classification problems. The book presents the principles, algorithms and applications of Optimum-Path Forest, giving the theory and state-of-the-art as well as insights into future directions. Presents the first book on Optimum-path Forest Shows how it can be used with Deep Learning Gives a wide range of applications Includes the methods, underlying theory and applications of Optimum-Path Forest (OPF)
Author : Jingdong Wang
Publisher :
ISBN 13 :
Total Pages : 218 pages
Book Rating : 4.:/5 (175 download)
Download or read book Graph Based Image Segmentation written by Jingdong Wang and published by . This book was released on 2007 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Xiaoyi Jiang
Publisher : Springer Science & Business Media
ISBN 13 : 3642208436
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 Science & Business Media. This book was released on 2011-05-10 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 : Stanisław Zawiślak
Publisher : Springer Nature
ISBN 13 : 3030767876
Total Pages : 311 pages
Book Rating : 4.0/5 (37 download)
Download or read book Graph-Based Modelling in Science, Technology and Art written by Stanisław Zawiślak and published by Springer Nature. This book was released on 2021-08-01 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents interdisciplinary, cutting-edge and creative applications of graph theory and modeling in science, technology, architecture and art. Topics are divided into three parts: the first one examines mechanical problems related to gears, planetary gears and engineering installations; the second one explores graph-based methods applied to medical analyses as well as biological and chemical modeling; and the third part includes various topics e.g. drama analysis, aiding of design activities and network visualisation. The authors represent several countries in Europe and America, and their contributions show how different, useful and fruitful the utilization of graphs in modelling of engineering systems can be. The book has been designed to serve readers interested in the subject of graph modelling and those with expertise in related areas, as well as members of the worldwide community of graph modelers.
Author : Dylan D. Schmorrow
Publisher : Springer
ISBN 13 : 3319586289
Total Pages : 600 pages
Book Rating : 4.3/5 (195 download)
Download or read book Augmented Cognition. Neurocognition and Machine Learning written by Dylan D. Schmorrow and published by Springer. This book was released on 2017-06-28 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 11th International Conference on Augmented Cognition, AC 2017, held as part of the International Conference on Human-Computer Interaction, HCII 2017, which took place in Vancouver, BC, Canada, in July 2017. HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. The papers thoroughly cover the entire field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The two volumes set of AC 2017 presents 81 papers which are organized in the following topical sections: electroencephalography and brain activity measurement, eye tracking in augmented cognition, physiological measuring and bio-sensing, machine learning in augmented cognition, cognitive load and performance, adaptive learning systems, brain-computer interfaces, human cognition and behavior in complex tasks and environments.
Author : Quji Guo
Publisher :
ISBN 13 :
Total Pages : 90 pages
Book Rating : 4.:/5 (493 download)
Download or read book Improvements on Graph Model Based Methods for Color Image Segmentation written by Quji Guo and published by . This book was released on 2001 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bo Peng
Publisher :
ISBN 13 :
Total Pages : 266 pages
Book Rating : 4.:/5 (793 download)
Download or read book Graph Based Image Segmentation and Evaluation written by Bo Peng and published by . This book was released on 2012 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Milan Sonka
Publisher : Springer
ISBN 13 : 3540278168
Total Pages : 448 pages
Book Rating : 4.5/5 (42 download)
Download or read book Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis written by Milan Sonka and published by Springer. This book was released on 2004-10-04 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical imaging and medical image analysisare rapidly developing. While m- ical imaging has already become a standard of modern medical care, medical image analysis is still mostly performed visually and qualitatively. The ev- increasing volume of acquired data makes it impossible to utilize them in full. Equally important, the visual approaches to medical image analysis are known to su?er from a lack of reproducibility. A signi?cant researche?ort is devoted to developing algorithms for processing the wealth of data available and extracting the relevant information in a computerized and quantitative fashion. Medical imaging and image analysis are interdisciplinary areas combining electrical, computer, and biomedical engineering; computer science; mathem- ics; physics; statistics; biology; medicine; and other ?elds. Medical imaging and computer vision, interestingly enough, have developed and continue developing somewhat independently. Nevertheless, bringing them together promises to b- e?t both of these ?elds. We were enthusiastic when the organizers of the 2004 European Conference on Computer Vision (ECCV) allowed us to organize a satellite workshop devoted to medical image analysis.
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 : Joanna Jaworek-Korjakowska
Publisher : Infinite Study
ISBN 13 :
Total Pages : 14 pages
Book Rating : 4./5 ( download)
Download or read book Region Adjacency Graph Approach for Acral Melanocytic Lesion Segmentation written by Joanna Jaworek-Korjakowska and published by Infinite Study. This book was released on with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: Malignant melanoma is among the fastest increasing malignancies in many countries. Due to its propensity to metastasize and lack of effective therapies for most patients with advanced disease, early detection of melanoma is a clinical imperative. In non-Caucasian populations, melanomas are frequently located in acral volar areas and their dermoscopic appearance differs from the non-acral ones. Although lesion segmentation is a natural preliminary step towards its further analysis, so far virtually no acral skin lesion segmentation method has been proposed. Our goal was to develop an effective segmentation algorithm dedicated for acral lesions.
Author : Tao Lei
Publisher : John Wiley & Sons
ISBN 13 : 111985900X
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 2022-10-11 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.
Author : Marek Kurzynski
Publisher : Springer
ISBN 13 : 3319591622
Total Pages : 522 pages
Book Rating : 4.3/5 (195 download)
Download or read book Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017 written by Marek Kurzynski and published by Springer. This book was released on 2017-05-05 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive study of computer recognition systems – one of the most promising directions in artificial intelligence. It presents a collection of 52 carefully selected articles contributed by experts in the field of pattern recognition, discussing both methodological aspects and applications of current research. It includes the following sections: · Features, learning, and classifiers · Biometrics · Data stream classification and big data analytics · Image processing and computer vision · Medical applications · Applications It is a valuable reference tool for scientists dealing with the problems of designing computer pattern recognition systems, including researchers and students of computer science, artificial intelligence and robotics.
