Download or read book Intelligent System for Content-based Image Retrieval and Segmentation written by Hewayda M. S. Lotfy and published by . This book was released on 2006 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large amounts of digital images are created and accessed daily by the public, academia, and corporations. Keyword indexing is useful but limited in describing image content. Intelligent content-based retrieval is a key technology to address this problem and to facilitate efficient image-based knowledge. This dissertation presents an attempt to improve image segmentation and region-based image retrieval utilizing artificial intelligence methods of probabilistic perspective to achieve this goal. Two novel systems are proposed: fuzzy-logic expert system for objects labeling OLFES and cluster-based retrieval system CoIRS. The two systems are based on probabilistic learning framework called EMIS and are integrated for image segmentation and retrieval. The EMIS is based on Expectation-Maximization (EM) algorithm that estimates Bayesian Maximum Likelihood parameters to fit data into Gaussian Mixture Model. The color and texture features of the image's small patches are fed to EM.