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Author : Tajen Liang
Publisher :
ISBN 13 :
Total Pages : 71 pages
Book Rating : 4.:/5 (257 download)
Download or read book Geometry Guided Image Segmentation written by Tajen Liang and published by . This book was released on 1989 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ayman S. El-Baz
Publisher : Springer Science & Business Media
ISBN 13 : 1441982043
Total Pages : 369 pages
Book Rating : 4.4/5 (419 download)
Download or read book Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies written by Ayman S. El-Baz and published by Springer Science & Business Media. This book was released on 2011-04-11 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration.
Author : Ayman S. El-Baz
Publisher : Springer Science & Business Media
ISBN 13 : 1441981950
Total Pages : 415 pages
Book Rating : 4.4/5 (419 download)
Download or read book Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies written by Ayman S. El-Baz and published by Springer Science & Business Media. This book was released on 2011-05-04 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration.
Author : Jean-Michel Morel
Publisher :
ISBN 13 :
Total Pages : 272 pages
Book Rating : 4.:/5 (318 download)
Download or read book Variational Methods in Image Segmentation written by Jean-Michel Morel and published by . This book was released on 1995 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ismail Ben Ayed
Publisher : Elsevier
ISBN 13 : 0128053208
Total Pages : 182 pages
Book Rating : 4.1/5 (28 download)
Download or read book High-Order Models in Semantic Image Segmentation written by Ismail Ben Ayed and published by Elsevier. This book was released on 2023-06-16 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-Order Models in Semantic Image Segmentation reviews recent developments in optimization-based methods for image segmentation, presenting several geometric and mathematical models that underlie a broad class of recent segmentation techniques. Focusing on impactful algorithms in the computer vision community in the last 10 years, the book includes sections on graph-theoretic and continuous relaxation techniques, which can compute globally optimal solutions for many problems. The book provides a practical and accessible introduction to these state-of -the-art segmentation techniques that is ideal for academics, industry researchers, and graduate students in computer vision, machine learning and medical imaging. Gives an intuitive and conceptual understanding of this mathematically involved subject by using a large number of graphical illustrations Provides the right amount of knowledge to apply sophisticated techniques for a wide range of new applications Contains numerous tables that compare different algorithms, facilitating the appropriate choice of algorithm for the intended application Presents an array of practical applications in computer vision and medical imaging Includes code for many of the algorithms that is available on the book's companion website
Author : Iffat Sharmin Chowdhury
Publisher :
ISBN 13 : 9781369061178
Total Pages : 102 pages
Book Rating : 4.0/5 (611 download)
Download or read book Developing Tools and Algorithms in Digital Geometry written by Iffat Sharmin Chowdhury and published by . This book was released on 2016 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image segmentation plays an important role in medical imaging, pattern recognition, computer vision and many other applications. It is a process of segmenting objects from an image which is used for image analysis. If the geometric shape of the desired object is known, then incorporating this information in the image segmentation algorithm can improve the results. A non-trivial issue is to determine how to model objects from a precise Euclidean space in an imprecise but implementable discrete array of pixels. One of the big challenges in digital geometry is to develop the correct definition of the digital representation of Euclidean objects, and then give algorithms based on these definitions. One of the most fundamental and important digital objects is the digital line segment as the definition of many different digital objects depends on the definition of digital line segments (such as digital convex objects). The majority of digital line segments considered in previous research are such that the intersection of two segments may be disconnected. This is a major drawback as Euclidean line segments do not behave in this manner. It is not feasible to have digital line segments intersect in at most one point, and thus we are interested in digital segment systems such that every pair of segments has a connected intersection. A system of digital line segments is called a consistent digital line segments system (CDS) if it satisfies this connected intersection property as well as some other properties satisfied by Euclidean line segments in continuous space. Two previous results on CDSes have provided constructions with optimal Hausdorff distance in two dimensions but left open the problem of characterizing two-dimensional CDSes. Unfortunately, there is very little known about CDSes in higher dimensions. Several new results on CDSes are presented in this thesis. We answer the most important remaining open question by giving the desired characterization in two dimensions. We also take the first significant steps towards obtaining a CDS with optimal Hausdorff distance for d-dimensional line segments coming from two different "slope types" for any fixed d ≥ 3. We then give the first non-trivial framework for computing CDSes (for all segments) in d-dimensions. Finally, we show that if we want to relax some of those Euclidean properties, then systems of digital segments with O(1) Hausdorff distance can be obtained. The image segmentation problem has a lot of practical applications, so it is important to have algorithms which are very fast in practice. Previous researchers gave efficient algorithms for solving rectilinear convex object which is an object such that the intersection of the object with any horizontal line or any vertical line is always connected. We investigate which geometric objects have image segmentation algorithms that can be solved via reduction to maximum flow, which is very fast in practice. We give a maximum flow-based algorithm that can partition the image into foreground and background such that the foreground can be decomposed into multiple rectilinear convex objects.
Author : Alexander Brook
Publisher :
ISBN 13 :
Total Pages : 76 pages
Book Rating : 4.:/5 (87 download)
Download or read book Geometry Inspired Variational Methods for Color Image Segmentation written by Alexander Brook and published by . This book was released on 2001 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Anthony Joseph Yezzi
Publisher :
ISBN 13 :
Total Pages : 178 pages
Book Rating : 4.:/5 (319 download)
Download or read book Curvature Driven Flows for 2D and 3D Image Segmentation, Smoothing,and Enhancement written by Anthony Joseph Yezzi and published by . This book was released on 1997 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Alan C. Bovik
Publisher : Academic Press
ISBN 13 : 0080922511
Total Pages : 877 pages
Book Rating : 4.0/5 (89 download)
Download or read book The Essential Guide to Image Processing written by Alan C. Bovik and published by Academic Press. This book was released on 2009-07-08 with total page 877 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete introduction to the basic and intermediate concepts of image processing from the leading people in the field Up-to-date content, including statistical modeling of natural, anistropic diffusion, image quality and the latest developments in JPEG 2000 This comprehensive and state-of-the art approach to image processing gives engineers and students a thorough introduction, and includes full coverage of key applications: image watermarking, fingerprint recognition, face recognition and iris recognition and medical imaging. "This book combines basic image processing techniques with some of the most advanced procedures. Introductory chapters dedicated to general principles are presented alongside detailed application-orientated ones. As a result it is suitably adapted for different classes of readers, ranging from Master to PhD students and beyond." – Prof. Jean-Philippe Thiran, EPFL, Lausanne, Switzerland "Al Bovik’s compendium proceeds systematically from fundamentals to today’s research frontiers. Professor Bovik, himself a highly respected leader in the field, has invited an all-star team of contributors. Students, researchers, and practitioners of image processing alike should benefit from the Essential Guide." – Prof. Bernd Girod, Stanford University, USA "This book is informative, easy to read with plenty of examples, and allows great flexibility in tailoring a course on image processing or analysis." – Prof. Pamela Cosman, University of California, San Diego, USA A complete and modern introduction to the basic and intermediate concepts of image processing – edited and written by the leading people in the field An essential reference for all types of engineers working on image processing applications Up-to-date content, including statistical modelling of natural, anisotropic diffusion, image quality and the latest developments in JPEG 2000
Author : Joo-Hwee Lim
Publisher : John Wiley & Sons
ISBN 13 : 1118957571
Total Pages : 524 pages
Book Rating : 4.1/5 (189 download)
Download or read book Biomedical Image Understanding written by Joo-Hwee Lim and published by John Wiley & Sons. This book was released on 2015-02-09 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to understanding and interpreting digital images in medical and functional applications Biomedical Image Understanding focuses on image understanding and semantic interpretation, with clear introductions to related concepts, in-depth theoretical analysis, and detailed descriptions of important biomedical applications. It covers image processing, image filtering, enhancement, de-noising, restoration, and reconstruction; image segmentation and feature extraction; registration; clustering, pattern classification, and data fusion. With contributions from experts in China, France, Italy, Japan, Singapore, the United Kingdom, and the United States, Biomedical Image Understanding: Addresses motion tracking and knowledge-based systems, two areas which are not covered extensively elsewhere in a biomedical context Describes important clinical applications, such as virtual colonoscopy, ocular disease diagnosis, and liver tumor detection Contains twelve self-contained chapters, each with an introduction to basic concepts, principles, and methods, and a case study or application With over 150 diagrams and illustrations, this bookis an essential resource for the reader interested in rapidly advancing research and applications in biomedical image understanding.
Author : David John O'Connell
Publisher :
ISBN 13 :
Total Pages : 140 pages
Book Rating : 4.:/5 (18 download)
Download or read book Dense Matching and Image Segmentation Using Projective Geometry written by David John O'Connell and published by . This book was released on 2002 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mingrui Zhang
Publisher :
ISBN 13 :
Total Pages : 260 pages
Book Rating : 4.:/5 (428 download)
Download or read book Generic Knowledge-guided Image Segmentation and Labeling with Applications written by Mingrui Zhang and published by . This book was released on 1999 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Naokazu Yokoya
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (66 download)
Download or read book Range Image Segmentation Based on Geometry written by Naokazu Yokoya and published by . This book was released on 1987 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ayodhya P. Gupta
Publisher : CRC Press
ISBN 13 : 1351081888
Total Pages : 521 pages
Book Rating : 4.3/5 (51 download)
Download or read book Immunology of Insects and Other Arthropods written by Ayodhya P. Gupta and published by CRC Press. This book was released on 2019-08-08 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most comprehensive book to date on insect immunocytes and other hemocytes Computer image analysis of immunocyte serial sections Why insects are immune to HIV Structural and functional similarities between certain components of the immune systems of arthropods and vertebrates Applications of Limulus Amebocyte Lysate (LAL) to detect endotoxin contamination in pharmaceuticals, medical devices, clinical diagnosis, and hygienic control
Author : Jing Qin
Publisher :
ISBN 13 :
Total Pages : 186 pages
Book Rating : 4.:/5 (934 download)
Download or read book Prior Information Guided Image Processing and Compressive Sensing written by Jing Qin and published by . This book was released on 2013 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal/image processing and reconstruction based on mathematical modeling and computational techniques have been well developed and still attract much attention due to their broad applications. It becomes challenging to build mathematical models if the given data lacks some certainties. Prior information, including geometric priors, high frequency priors, spatially variant intensity variations and image regularities, assists to establish mathematical models by providing a more accurate description of the underlying signal/image. We have been exploring applications of the extracted prior information in two directions: integrating prior information into the image denoising explained in nonlocal means (NL-means) denoising framework; enhancing the compressive sensing signal/image reconstruction with the guidance of prior information. The first topic is geometric information based image denoising, where we develop a segmentation boosted image denoising scheme, balancing the removal of excessive noise and preservation of fine features. By virtue of segmentation algorithms and more general geometry extraction schemes, we are able to obtain the phase or geometric prior information. Based on the NL-means method, we introduce a mutual position function to ensure that averaging is only taken over pixels in the same image phase. To further improve the performance, we provide the respective selection scheme for the convolution kernel and the weight function. To address the unreliable segmentation due to the presence of excessive noise, the phase prior is relaxed to a more general geometric prior. The second topic is prior information guided compressive sensing signal/image reconstruction. Concerning the 1D signal reconstruction, we extract high frequency subbands as prior to boost the subsequent reconstruction. In 2D image reconstruction realm, we propose a novel two-stage intensity variation prior guided image reconstruction method using pixel-to-pixel varying weights associated to the total variation. By incorporating high order image regularity prior, we develop one total generalized variation (TGV) based image reconstruction model. Unlike the traditional wavelet which is only able to detect locations of singularities, shearlet transform can efficiently provide more geometric information of singularities in images, e.g. direction. Therefore we adopt the shearlet transform to boost the sparsity in image reconstruction algorithms. In addition, our work in signal/image denoising and reconstruction can be easily generalized to deal with other kinds of noise or measurements.
Author : Ayman El-Baz
Publisher : CRC Press
ISBN 13 : 1315355043
Total Pages : 511 pages
Book Rating : 4.3/5 (153 download)
Download or read book Biomedical Image Segmentation written by Ayman El-Baz and published by CRC Press. This book was released on 2016-11-17 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and diagnostic techniques. A large variety of different imaging techniques, each with its own physical principle and characteristics (e.g., noise modeling), often requires modality-specific algorithmic treatment. In recent years, substantial progress has been made to biomedical image segmentation. Biomedical image segmentation is characterized by several specific factors. This book presents an overview of the advanced segmentation algorithms and their applications.
Author : Naokazu Yokoya
Publisher :
ISBN 13 :
Total Pages : 49 pages
Book Rating : 4.:/5 (2 download)
Download or read book Range Image Segmentation Based on Differential Geometry written by Naokazu Yokoya and published by . This book was released on 1987 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt:
