1# Library to Find Best eBook for Read
Author : Chathurika Dharmagunawardhana
Release : 2014
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Image Texture Analysis Based on Gaussian Markov Random Fields by : Chathurika Dharmagunawardhana
Download or read book Image Texture Analysis Based on Gaussian Markov Random Fields written by Chathurika Dharmagunawardhana. This book was released on 2014. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yasseen Hamad Al Makady
Release : 2020
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Volumetric Texture Analysis Based on Three Dimensional Gaussian Markov Random Fields by : Yasseen Hamad Al Makady
Download or read book Volumetric Texture Analysis Based on Three Dimensional Gaussian Markov Random Fields written by Yasseen Hamad Al Makady. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Stan Z. Li
Release : 2009-04-03
Genre : Computers
Kind : eBook
Book Rating : 793/5 ( reviews)
Book Synopsis Markov Random Field Modeling in Image Analysis by : Stan Z. Li
Download or read book Markov Random Field Modeling in Image Analysis written by Stan Z. Li. This book was released on 2009-04-03. Available in PDF, EPUB and Kindle. Book excerpt: Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This third edition includes the most recent advances and has new and expanded sections on topics such as: Bayesian Network; Discriminative Random Fields; Strong Random Fields; Spatial-Temporal Models; Learning MRF for Classification. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas.
Author : Rama Chellappa
Release : 1993
Genre : Mathematics
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Markov Random Fields by : Rama Chellappa
Download or read book Markov Random Fields written by Rama Chellappa. This book was released on 1993. Available in PDF, EPUB and Kindle. Book excerpt: Introduces the theory and application of Markov random fields in image processing/computer vision. Modelling images through the local interaction of Markov models produces algorithms for use in texture analysis, image synthesis, restoration, segmentation and surface reconstruction.
Author : Georgy L. Gimel'farb
Release : 2012-12-06
Genre : Computers
Kind : eBook
Book Rating : 613/5 ( reviews)
Book Synopsis Image Textures and Gibbs Random Fields by : Georgy L. Gimel'farb
Download or read book Image Textures and Gibbs Random Fields written by Georgy L. Gimel'farb. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Image analysis is one of the most challenging areas in today's computer sci ence, and image technologies are used in a host of applications. This book concentrates on image textures and presents novel techniques for their sim ulation, retrieval, and segmentation using specific Gibbs random fields with multiple pairwise interaction between signals as probabilistic image models. These models and techniques were developed mainly during the previous five years (in relation to April 1999 when these words were written). While scanning these pages you may notice that, in spite of long equa tions, the mathematical background is extremely simple. I have tried to avoid complex abstract constructions and give explicit physical (to be spe cific, "image-based") explanations to all the mathematical notions involved. Therefore it is hoped that the book can be easily read both by professionals and graduate students in computer science and electrical engineering who take an interest in image analysis and synthesis. Perhaps, mathematicians studying applications of random fields may find here some less traditional, and thus controversial, views and techniques.
