brain mr images tissue segmentation is one of the most important parts of the clinical diagnostic tools. pixel classification methods have been frequently used in the image segmentation with two supervised and unsupervised approaches up to now. supervised segmentation methods lead to high accuracy but they need a large amount of labeled data, which is hard, expensive and slow to obtain. moreove...

This paper aims at detecting textual regions by separating graphical regions using Selective CRLA scheme and statistical textual properties on noise infected and low resolution newspaper images. A Bottom Up approach is adopted (i.e.) Selective Constrained Run Length algorithm (CRLA) is applied to obtain the layouts and region growing method over it, segments the homogeneous regions. Statistical...

Web page prefetching is used to reduce the access latency of the Internet. However, if most prefetched Web pages are not visited by the users in their subsequent accesses, the limited network bandwidth and server resources will not be used efficiently and even worsen the access delay problem. Therefore, enhancing theWeb page prediction accuracy is a main problem ofWeb page prefetching. Conditio...

Due to the rapid growth of the number of digital images on the Web, there is an increasing demand for effective and efficient method for organizing and retrieving the images available. This paper describes ImageSeer, a system for clustering and searching WWW images. By using a vision-based page segmentation algorithm, a web page is partitioned into blocks, and the textual and link information o...

As web sites are getting more complicated, the construction of web information extraction systems becomes more troublesome and time-consuming. A common theme is the difficulty in locating the segments of a page in which the target information is contained, which we call the informative blocks. This article reports on the Recognising Informative Page Blocks algorithm (RIPB), which is able to ide...

The research presented in this thesis addresses the problem of Text Segmentation in Web images. Text is routinely created in image form (headers, banners etc.) on Web pages, as an attempt to overcome the stylistic limitations of HTML. This text however, has a potentially high semantic value in terms of indexing and searching for the corresponding Web pages. As current search engine technology d...

Introduction: Appropriate definition of the distance measure between diffusion tensors has a deep impact on Diffusion Tensor Image (DTI) segmentation results. The geodesic metric is the best distance measure since it yields high-quality segmentation results. However, the important problem with the geodesic metric is a high computational cost of the algorithms based on it. The main goal of this ...

Automatic extraction of meta-data from collections of scanned documents (books and journals) is a useful task in order to increase the accessibility of these digital collections. In order to improve the extraction of meta-data, the classification of the page layout into a set of pre-defined classes can be helpful. In this paper we describe a method for classifying document images on the basis o...

In this module, user has to give the query for the further propose and to obtain the optimized query. The wide spread use of the Web has originated several new data management problems, such as extracting data from Web pages and making databases accessible from Web browsers, and has renewed the interest in problems that had appeared before in other contexts, such as querying graphs, semi struct...

background: dicrocoelium dendriticum, a liver trematode of herbivores, and man is very prevalent among ruminants of iran, resulting in causing significant economic losses. recently its phenotype polymorphism has been found in iran, a phenomenon that may affect the protein profile of the parasite. objectives: the aim of this study was to determine the somatic protein profiles of d.dendriticum in...