Background: Accurate brain tissue segmentation from magnetic resonance (MR) images is an important step in analysis of cerebral images. There are software packages which are used for brain segmentation. These packages usually contain a set of skull stripping, intensity non-uniformity (bias) correction and segmentation routines. Thus, assessment of the quality of the segmented gray matter (GM), ...

In this paper we propose a segmentation system for unconstrained Arabic online handwriting. An essential problem addressed by analytical-based word recognition system. The system is composed of two-stages the first is a newly special designed hidden Markov model (HMM) and the second is a rules based stage. In our system, handwritten words are broken up into characters by simultaneous segmentati...

Image segmentation plays an important role in diagnosis and treatment of diseases. Image segmentation locates objects and boundaries with in images and the segmentation process is stopped when region of interest is separated from the input image. Based on the application, region of interest may differ and hence none of the segmentation algorithm satisfies the global applications. Thus segmentat...

Object segmentation is a challenging task in image processing and computer vision. In this paper, we present a visual attention based segmentation method to segment small sized interesting objects in natural images. Different from the traditional methods, we first search the region of interest by using our novel saliency-based method, which is mainly based on band-pass filtering, to obtain the ...

Image segmentation is the process of partitioning a digital image into multiple segments. Segmentation is fundamental step in analyzing and understanding an image. In this paper, different segmentation algorithms are implemented. Watershed transform is region based segmentation technique. It changes your image into another image whose catchment basins are the objects you want to identify. Where...

Empirical performance evaluation of page segmentation algorithms has become increasingly important due to the numerous algorithms that are being proposed each year. In order to choose between these algorithms for a speciic domain it is important to empirically evaluate their performance. To accomplish this task the document image analysis community needs i) standardized document image datasets ...

Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online's data policy on reuse of materials please consult the policies page. Abstract Despite an extensive market segmentation literature, applied academic studies which bridge segmentation theory and practice remain a priority for ...

Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online's data policy on reuse of materials please consult the policies page. Abstract Despite an extensive market segmentation literature, applied academic studies which bridge segmentation theory and practice remain a priority for ...

ÐAutomatic transformation of paper documents into electronic documents requires geometric document layout analysis at the first stage. However, variations in character font sizes, text line spacing, and document layout structures have made it difficult to design a general-purpose document layout analysis algorithm for many years. The use of some parameters has therefore been unavoidable in prev...

Layout is a physical arrangement of document components such as text-blocks, text-lines, figures and tables in a page. The difficulty of layout analysis depends on a class of layout to be analyzed. An important and the most investigated class would be rectangular layout. Layout is rectangular if all document components are circumscribed by non-overlapping upright rectangles. In recent years, ho...