Graph Spectral Image Processing Over Adaptive Triangulations - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Graph Spectral Image Processing Over Adaptive Triangulations write by Niklas Wagner. This book was released on 2021. Graph Spectral Image Processing Over Adaptive Triangulations available in PDF, EPUB and Kindle.
Image Processing and Analysis with Graphs
Image Processing and Analysis with Graphs - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Image Processing and Analysis with Graphs write by Olivier Lezoray. This book was released on 2017-07-12. Image Processing and Analysis with Graphs available in PDF, EPUB and Kindle. 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.
Content-adaptive Graph-based Methods for Image Analysis and Processing
Content-adaptive Graph-based Methods for Image Analysis and Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Content-adaptive Graph-based Methods for Image Analysis and Processing write by Guillaume Pierre Alexandre Noel. This book was released on 2011. Content-adaptive Graph-based Methods for Image Analysis and Processing available in PDF, EPUB and Kindle. In the past few years, mesh representation of images has attracted a lot of research interest due to its wide area of applications in image processing. Mesh representation showed encouraging results for image segmentation, reconstruction and compression. The present work revisits the Laplacian mesh smoothing, a technique for fairing surfaces, almost exclusively applied to 3D meshes. The report is also based on the idea that while sampling points in an image are distributed uniformly, the information in an image is not following a uniform distribution. Instead of filtering the gray levels of the image, the proposed method, called grid smoothing, filter the coordinates of the sampling points of the image.
Graph Based Multimedia Analysis
Graph Based Multimedia Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Graph Based Multimedia Analysis write by Ananda S Chowdhury. This book was released on 2024-08-30. Graph Based Multimedia Analysis available in PDF, EPUB and Kindle. Graph Based Multimedia Analysis applies concepts from graph theory to the problems of analyzing overabundant video data. Video data can be quite diverse: exocentric (captured by a standard camera) or egocentric (captured by a wearable device like Google Glass); of various durations (ranging from a few seconds to several hours); and could be from a single source or multiple sources. Efficient extraction of important information from such a large class of diverse video data can be overwhelming. The book, with its rich repertoire of theoretically elegant solutions, from graph theory in conjunction with deep learning, constrained optimization, and game theory, empowers the audience to achieve tasks like obtaining concise yet useful summaries and precisely recognizing single as well as multiple actions in a computationally efficient manner. The book provides a unique treatise on topics like egocentric video analysis and scalable video processing. Addresses a number of challenging state-of-the-art problems in multimedia analysis like summarization, co-summarization, and action recognition Handles a wide class of video with different genres, durations, and numbers Applies a class of theoretically rich algorithms from the discipline of graph theory, in conjunction with deep learning, constrained optimization and game theory Includes thorough complexity analyses of the proposed solutions, and an appendix containing implementable source codes
Hybrid Intelligent Techniques for Pattern Analysis and Understanding
Hybrid Intelligent Techniques for Pattern Analysis and Understanding - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hybrid Intelligent Techniques for Pattern Analysis and Understanding write by Siddhartha Bhattacharyya. This book was released on 2017-10-30. Hybrid Intelligent Techniques for Pattern Analysis and Understanding available in PDF, EPUB and Kindle. Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.
