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Author : Nan Zhang
Publisher :
ISBN 13 :
Total Pages : 110 pages
Book Rating : 4.:/5 (969 download)
Download or read book Invariant Segmentation of Texture in Images of Natural Scene written by Nan Zhang and published by . This book was released on 1997 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 264 pages
Book Rating : 4.:/5 (939 download)
Download or read book Scale and Rotation Invariant Texture Features for Image Segmentation and Query by Example written by and published by . This book was released on 2010 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: A goal of image segmentation is to divide an image into regions corresponding to objects. Segmentation is important because it is a vital step in enabling a computer to understand the contents of an image. While grouping together pixels with homogenous properties such as colour and texture is useful for simple cases, applying standard approaches to segment more complex images containing objects with scaled and/or rotated textures has proved to be less effective. Examples of complex images include those containing zebras, flowers, spiral shells and checkerboard patterns. This thesis develops new scale and rotation invariant texture features for segmenting typical natural images and complex images. A new transform called the Double Dyadic Dual-Tree Complex Wavelet Transform (D3T-CWT) is modified from the Dual-Tree Complex Wavelet Transform (DT-CWT) to enable analysis of signals at and midway between dyadic scales. This transform facilitates production of two new scale and rotation invariant texture features: the first employing magnitude coefficients from the DFT while the approach chosen herein uses circular-correlation to generate the invariant features. The new invariant texture feature improves over standard features in segmenting general images and particularly those containing complex textures. A further improvement results from combining the new texture feature with a purposely designed colour histogram. The scale and rotation invariant texture feature has important applications outside of segmentation such as in query by example in content based image retrieval. A novel scale and rotation invariant texture descriptor for classifying regions is developed from modelling the distribution of invariant texture features in an image region. Improved retrieval accuracy from using the new approach suggests the suitability of the new descriptor in query by example.
Author : Evgeniy Bart
Publisher : Frontiers E-books
ISBN 13 : 2889190765
Total Pages : 195 pages
Book Rating : 4.8/5 (891 download)
Download or read book Invariant Recognition of Visual Objects written by Evgeniy Bart and published by Frontiers E-books. This book was released on with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Research Topic will focus on how the visual system recognizes objects regardless of variations in the viewpoint, illumination, retinal size, background, etc. Contributors are encouraged to submit articles describing novel results, models, viewpoints, perspectives and/or methodological innovations relevant to this topic. The issues we wish to cover include, but are not limited to, perceptual invariance under one or more of the following types of image variation: • Object shape • Task • Viewpoint (from the translation and rotation of the object relative to the viewer) • Illumination, shading, and shadows • Degree of occlusion • Retinal size • Color • Surface texture • Visual context, including background clutter and crowding • Object motion (including biological motion). Examples of questions that are particularly interesting in this context include, but are not limited to: • Empirical characterizations of properties of invariance: does invariance always exist? How wide is its range and how strong is the tolerance to viewing conditions within this range? • Invariance in naïve vs. experienced subjects: Is invariance built-in or learned? How can it be learned, under which conditions and how effectively? Is it learned incidentally, or are specific task and reward structures necessary for learning? How is generalizability and transfer of learning related to the generalizability/invariance of perception? • Invariance during inference: Are there conditions (e.g. fast presentation time or otherwise resource-constrained recognition) when invariance breaks? • What are some plausible computational or neural mechanisms by which invariance could be achieved?
Author : Matti Pietikinen
Publisher : World Scientific
ISBN 13 : 9789810243739
Total Pages : 284 pages
Book Rating : 4.2/5 (437 download)
Download or read book Texture Analysis in Machine Vision written by Matti Pietikinen and published by World Scientific. This book was released on 2000 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: d104ure analysis is an important generic research area of machine vision. The potential areas of application include biomedical image analysis, industrial inspection, analysis of satellite or aerial imagery, content-based retrieval from image databases, document analysis, biometric person authentication, scene analysis for robot navigation, texture synthesis for computer graphics and animation, and image coding. d104ure analysis has been a topic of intensive research for over three decades, but the progress has been very slow.A workshop on ?d104ure Analysis in Machine Vision? was held at the University of Oulu, Finland, in 1999, providing a forum for presenting recent research results and for discussing how to make progress in order to increase the usefulness of texture in practical applications. This book contains extended and revised versions of the papers presented at the workshop. The first part of the book deals with texture analysis methodology, while the second part covers various applications. The book gives a unique view of different approaches and applications of texture analysis. It should be of great interest both to researchers of machine vision and to practitioners in various application areas.
Author : Ron Kimmel
Publisher : Springer
ISBN 13 : 3540320121
Total Pages : 644 pages
Book Rating : 4.5/5 (43 download)
Download or read book Scale Space and PDE Methods in Computer Vision written by Ron Kimmel and published by Springer. This book was released on 2005-03-31 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the proceedings of the 5th International Conference on Scale-Space and PDE Methods in Computer Vision. The scale-space concept was introduced by Iijima more than 40 years ago and became popular later on through the works of Witkin and Koenderink. It is at the junction of three major schools of thought in image processing and computer vision: the design of ?lters, axiomatic approaches based on partial di?erential equations (PDEs), and variational methods for image regularization. Scale-space ideas belong to the mathematically best-understood approaches in image analysis. They have entered numerous successful applications in medical imaging and a number of other ?elds where they often give results of very high quality. This conference followed biennial meetings held in Utrecht, Corfu, Vancouver and Skye. It took place in a little castle (Schl ̈ osschen Sch ̈ onburg) near the small town of Hofgeismar, Germany. Inspired by the very successful previous meeting at Skye, we kept the style of gathering people in a slightly remote and scenic place in order to encourage many fruitful discussions during the day and in the evening. Wereceived79fullpapersubmissionsofahighstandardthatischaracteristic for the scale-space conferences. Each paper was reviewed by three experts from the Program Committee, sometimes helped by additional reviewers. Based on theresultsofthesereviews,53paperswereaccepted.Weselected24manuscripts for oral presentation and 29 for poster presentation.
Author :
Publisher :
ISBN 13 :
Total Pages : 32 pages
Book Rating : 4.:/5 (317 download)
Download or read book Scene Segmentation of Natural Images Using Texture Measures and Back-propagation written by and published by . This book was released on 1993 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hussein Abdulhussein
Publisher :
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4.:/5 (876 download)
Download or read book Geometric Image Segmentation Via Transform Invariant Rank Cuts written by Hussein Abdulhussein and published by . This book was released on 2012 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research propose a novel image segmentation algorithm, named as Transform Invariant Rank Cuts (TIRC). Based on salient 3D geometric information of natural scenes. The segmentation algorithm unities an emerging robust statistics technique called Robust PCA and its recent application in Transform Invariant Low-Rank Texture (TILT) extraction. This proposed novel algorithms address two critical issues that have handicapped the applications of the TILT feature. First, we propose a simple yet e cient algorithm to detect low-rank texture regions in natural images. Second, TIRC is a principled graph-cut solution to partition the TILT features into groups; each group represents a unique 3D planar structure. Using a TILT adjacency graph, the algorithm assigns a TILT feature as a node. Two nodes are connected if they are spatially adjacent, with the cut cost function defined as the total coding length of encoding the two texture regions as low-rank matrices separately. Finally, the classical graph-cut algorithm can be applied to partition the graph into sub-graphs, each of which represents a unique surface texture and 3D orientation. The efficacy and visual quality of this geometric image segmentation algorithm is demonstrated on a large urban scene database.
Author : Richard Lyle Vistnes
Publisher :
ISBN 13 :
Total Pages : 380 pages
Book Rating : 4.F/5 ( download)
Download or read book Computer Texture Analysis and Segmentation written by Richard Lyle Vistnes and published by . This book was released on 1988 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Adam Herout
Publisher : BoD – Books on Demand
ISBN 13 : 9537619907
Total Pages : 538 pages
Book Rating : 4.5/5 (376 download)
Download or read book Pattern Recognition written by Adam Herout and published by BoD – Books on Demand. This book was released on 2010-02-01 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition is a very wide research field. It involves factors as diverse as sensors, feature extraction, pattern classification, decision fusion, applications and others. The signals processed are commonly one, two or three dimensional, the processing is done in real- time or takes hours and days, some systems look for one narrow object class, others search huge databases for entries with at least a small amount of similarity. No single person can claim expertise across the whole field, which develops rapidly, updates its paradigms and comprehends several philosophical approaches. This book reflects this diversity by presenting a selection of recent developments within the area of pattern recognition and related fields. It covers theoretical advances in classification and feature extraction as well as application-oriented works. Authors of these 25 works present and advocate recent achievements of their research related to the field of pattern recognition.
Author :
Publisher :
ISBN 13 :
Total Pages : 864 pages
Book Rating : 4.:/5 (318 download)
Download or read book Image Understanding Workshop written by and published by . This book was released on 1994 with total page 864 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sharma V. R. Madiraju
Publisher :
ISBN 13 :
Total Pages : 11 pages
Book Rating : 4.:/5 (383 download)
Download or read book Rotation Invariant Image Texture Classification and Segmentation Using Covariance written by Sharma V. R. Madiraju and published by . This book was released on 1994 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : National Aeronautics and Space Administration (NASA)
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781722755065
Total Pages : 30 pages
Book Rating : 4.7/5 (55 download)
Download or read book Scene Segmentation of Natural Images Using Texture Measures and Back-Propagation written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-07-11 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge of the three-dimensional world is essential for many guidance and navigation applications. A sequence of images from an electro-optical sensor can be processed using optical flow algorithms to provide a sparse set of ranges as a function of azimuth and elevation. A natural way to enhance the range map is by interpolation. However, this should be undertaken with care since interpolation assumes continuity of range. The range is continuous in certain parts of the image and can jump at object boundaries. In such situations, the ability to detect homogeneous object regions by scene segmentation can be used to determine regions in the range map that can be enhanced by interpolation. The use of scalar features derived from the spatial gray-level dependence matrix for texture segmentation is explored. Thresholding of histograms of scalar texture features is done for several images to select scalar features which result in a meaningful segmentation of the images. Next, the selected scalar features are used with a neural net to automate the segmentation procedure. Back-propagation is used to train the feed forward neural network. The generalization of the network approach to subsequent images in the sequence is examined. It is shown that the use of multiple scalar features as input to the neural network result in a superior segmentation when compared with a single scalar feature. It is also shown that the scalar features, which are not useful individually, result in a good segmentation when used together. The methodology is applied to both indoor and outdoor images. Sridhar, Banavar and Phatak, Anil and Chatterji, Gano Ames Research Center RTOP 505-64-36...
Author : Roland Chin
Publisher : Lecture Notes in Computer Science
ISBN 13 :
Total Pages : 792 pages
Book Rating : 4.:/5 (318 download)
Download or read book Computer Vision - ACCV'98 written by Roland Chin and published by Lecture Notes in Computer Science. This book was released on 1998 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sepsis is a syndrome or sometimes it is a clinical condition evoked by uncontrolled endotoxin-reactions. These pathophysiological alterations can disturb the organism's homeostasis leading ultimately to a condition of severe organ dysfunction which in itself means a bad prognosis for patient survival. In the last decades researchers and clinicians have been involved in process directed to a better understanding of the basic mechanisms of sepsis and MODS. The best goal will be the achievement of preventive measures and optimization of management in patients suffering severe infections and critical conditions. This objective represents a true challenge at the dawn of the XXI century.
Author : Michal Haindl
Publisher : Springer Science & Business Media
ISBN 13 : 1447149025
Total Pages : 304 pages
Book Rating : 4.4/5 (471 download)
Download or read book Visual Texture written by Michal Haindl and published by Springer Science & Business Media. This book was released on 2013-01-18 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book surveys the state of the art in multidimensional, physically-correct visual texture modeling. Features: reviews the entire process of texture synthesis, including material appearance representation, measurement, analysis, compression, modeling, editing, visualization, and perceptual evaluation; explains the derivation of the most common representations of visual texture, discussing their properties, advantages, and limitations; describes a range of techniques for the measurement of visual texture, including BRDF, SVBRDF, BTF and BSSRDF; investigates the visualization of textural information, from texture mapping and mip-mapping to illumination- and view-dependent data interpolation; examines techniques for perceptual validation and analysis, covering both standard pixel-wise similarity measures and also methods of visual psychophysics; reviews the applications of visual textures, from visual scene analysis in medical applications, to high-quality visualizations in the automotive industry.
Author : Chih-Cheng Hung
Publisher : Springer
ISBN 13 : 3030137732
Total Pages : 264 pages
Book Rating : 4.0/5 (31 download)
Download or read book Image Texture Analysis written by Chih-Cheng Hung and published by Springer. This book was released on 2019-06-05 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This useful textbook/reference presents an accessible primer on the fundamentals of image texture analysis, as well as an introduction to the K-views model for extracting and classifying image textures. Divided into three parts, the book opens with a review of existing models and algorithms for image texture analysis, before delving into the details of the K-views model. The work then concludes with a discussion of popular deep learning methods for image texture analysis. Topics and features: provides self-test exercises in every chapter; describes the basics of image texture, texture features, and image texture classification and segmentation; examines a selection of widely-used methods for measuring and extracting texture features, and various algorithms for texture classification; explains the concepts of dimensionality reduction and sparse representation; discusses view-based approaches to classifying images; introduces the template for the K-views algorithm, as well as a range of variants of this algorithm; reviews several neural network models for deep machine learning, and presents a specific focus on convolutional neural networks. This introductory text on image texture analysis is ideally suitable for senior undergraduate and first-year graduate students of computer science, who will benefit from the numerous clarifying examples provided throughout the work.
Author : Hari Sundaram
Publisher : Springer Science & Business Media
ISBN 13 : 3540360182
Total Pages : 558 pages
Book Rating : 4.5/5 (43 download)
Download or read book Image and Video Retrieval written by Hari Sundaram and published by Springer Science & Business Media. This book was released on 2006-06-29 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here are the refereed proceedings of the 5th International Conference on Image and Video Retrieval, CIVR 2006, held in Singapore in July 2006. Presents 18 revised full papers and 30 poster papers, together with extended abstracts of 5 papers of 1 special session and those of 10 demonstration papers. These cover interactive image and video retrieval, semantic image retrieval, visual feature analysis, learning and classification, image and video retrieval metrics, and machine tagging.
Author : Nicu Sebe
Publisher : Springer
ISBN 13 : 3540734171
Total Pages : 526 pages
Book Rating : 4.5/5 (47 download)
Download or read book Multimedia Content Analysis and Mining written by Nicu Sebe and published by Springer. This book was released on 2007-07-10 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prominent international experts came together to present and debate the latest findings in the field at the 2007 International Workshop on Multimedia Content Analysis and Mining. This volume includes forty-six papers from the workshop as well as thirteen invited papers. The papers cover a wide range of cutting-edge issues, including all aspects of multimedia in the fields of entertainment, commerce, science, medicine, and public safety.
