In this paper, we present a general method to segment and recognize two or more connected symbols. The method is based on the evaluation of segmentation candidates produced by grouping elements of an over-segmentation. The possible segmentation areas obtained by the over-segmentation are hierarchically ordered, which allows a priority-driven approach in the investigation of correct segmentation...

Background: Brain tissue segmentation for delineation of 3D anatomical structures from magnetic resonance (MR) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF), but only if the obtained segmentation results are correct. Due to image arti...

Market segmentation is the start point of executing targeted marketing strategy. This study aims to determine fit dimensions and appropriate specifications for the segmentation of herbal medicines market in order to provide production and market departments with fit strategies by identifying the profile of the market customers and recognizing their differences in the identified indices. This is...

Abstract With the development of mobile positioning technology, a large amount trajectory data has been generated. Therefore, to store, process and mine in better way, simplification is imperative. Current methods are either based on spatiotemporal features or semantic features, such as road network structure, but they do not consider stop. To overcome this limitation, study presents segmentati...

Lung cancer is one of the most dangerous diseases that cause a large number of deaths. Early detection and analysis can be very helpful for successful treatment. Image segmentation plays a key role in the early detection and diagnosis of lung cancer. K-means algorithm and classic PSO clustering are the most common methods for segmentation that have poor outputs. In t...

Automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. Most of the road detection approaches are based on image segmentation algorithms. Color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. In order to reduce the light change ...

A method for automatic liver tumor segmentation from computer tomography (CT) images is presented in this paper. Segmentation is an important operation before surgery planning, and automatic methods offer an alternative to laborious manual segmentation. In addition, segmentations of automatic methods are reproducible, so they can be reliably evaluated and they do not depend on the performer of ...