Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Scene Segmentation Of Natural Images Using Texture Measures And Back Propagation
Download Scene Segmentation Of Natural Images Using Texture Measures And Back Propagation full books in PDF, epub, and Kindle. Read online Scene Segmentation Of Natural Images Using Texture Measures And Back Propagation ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
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)
Book Synopsis Scene Segmentation of Natural Images Using Texture Measures and Back-Propagation by : National Aeronautics and Space Administration (NASA)
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...
Book Synopsis Scene Segmentation of Natural Images Using Texture Measures and Back-propagation by :
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:
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1994 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Monthly Catalog of United States Government Publications by :
Download or read book Monthly Catalog of United States Government Publications written by and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Monthly Catalogue, United States Public Documents by :
Download or read book Monthly Catalogue, United States Public Documents written by and published by . This book was released on 1994 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Image Segmentation written by Pei-Gee Ho and published by BoD – Books on Demand. This book was released on 2011-04-19 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: It was estimated that 80% of the information received by human is visual. Image processing is evolving fast and continually. During the past 10 years, there has been a significant research increase in image segmentation. To study a specific object in an image, its boundary can be highlighted by an image segmentation procedure. The objective of the image segmentation is to simplify the representation of pictures into meaningful information by partitioning into image regions. Image segmentation is a technique to locate certain objects or boundaries within an image. There are many algorithms and techniques have been developed to solve image segmentation problems, the research topics in this book such as level set, active contour, AR time series image modeling, Support Vector Machines, Pixon based image segmentations, region similarity metric based technique, statistical ANN and JSEG algorithm were written in details. This book brings together many different aspects of the current research on several fields associated to digital image segmentation. Four parts allowed gathering the 27 chapters around the following topics: Survey of Image Segmentation Algorithms, Image Segmentation methods, Image Segmentation Applications and Hardware Implementation. The readers will find the contents in this book enjoyable and get many helpful ideas and overviews on their own study.
Book Synopsis Image Texture Analysis by : Chih-Cheng Hung
Download or read book Image Texture Analysis written by Chih-Cheng Hung and published by . This book was released on 2019 with total page 258 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. Dr. Chih-Cheng Hung is a Tenured Professor of Computer Science in the College of Computing and Software Engineering at Kennesaw State University, where he serves as the Director of the Center for Machine Vision and Security Research. He also holds the position of YinDu Scholar at Anyang Normal University, China. Dr. Enmin Song is a Professor and Director of the Department of Computer Science and Application at Huazhong University of Science and Technology, Wuhan, China. Dr. Yihua Lan is an Associate Professor of Computer Science in the School of Computer and Information Technology at Nanyang Normal University, China.
Book Synopsis Advances in Image Segmentation by : Pei-Gee Ho
Download or read book Advances in Image Segmentation written by Pei-Gee Ho and published by BoD – Books on Demand. This book was released on 2012-10-24 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of digital image segmentation is continually evolving. Most recently, the advanced segmentation methods such as Template Matching, Spatial and Temporal ARMA Processes, Mean Shift Iterative Algorithm, Constrained Compound Markov Random Field (CCMRF) model and Statistical Pattern Recognition (SPR) methods form the core of a modernization effort that resulted in the current text. This new edition of "Advanced Image Segmentation" is but a reflection of the significant progress that has been made in the field of image segmentation in just the past few years. The book presented chapters that highlight frontier works in image information processing.
Book Synopsis Government Reports Announcements & Index by :
Download or read book Government Reports Announcements & Index written by and published by . This book was released on 1993 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Natural Image Segmentation Using Color and Texture by : Bin Wang
Download or read book Natural Image Segmentation Using Color and Texture written by Bin Wang and published by . This book was released on 1999 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis IEEE ... International Conference on Neural Networks by :
Download or read book IEEE ... International Conference on Neural Networks written by and published by . This book was released on 1994 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Invariant Segmentation of Texture in Images of Natural Scene by : Nan Zhang
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:
Book Synopsis The 1994 IEEE International Conference on Neural Networks by :
Download or read book The 1994 IEEE International Conference on Neural Networks written by and published by . This book was released on 1994 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Government reports annual index by :
Download or read book Government reports annual index written by and published by . This book was released on 199? with total page 1200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Intelligence in Multimedia Processing: Recent Advances by : Aboul-Ella Hassanien
Download or read book Computational Intelligence in Multimedia Processing: Recent Advances written by Aboul-Ella Hassanien and published by Springer Science & Business Media. This book was released on 2008-04-24 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent decades Multimedia processing has emerged as an important technology to generate content based on images, video, audio, graphics, and text. This book is a compilation of the latest trends and developments in the field of computational intelligence in multimedia processing. The edited book presents a large number of interesting applications to intelligent multimedia processing of various Computational Intelligence techniques including neural networks and fuzzy logic.
Download or read book Optical Engineering written by and published by . This book was released on 1998 with total page 1154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publishes papers reporting on research and development in optical science and engineering and the practical applications of known optical science, engineering, and technology.
Book Synopsis Segmentation of Natural Texture Images Using a Robust Stochastic Image Model by : Kyu-Heon Kim
Download or read book Segmentation of Natural Texture Images Using a Robust Stochastic Image Model written by Kyu-Heon Kim and published by . This book was released on 1996 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:
