Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...

background: the aim of this study was to assess the effects of road deicing salt on the quality of the ground water resources in hamadan province during winter season. methods: water samples were taken monthly from thirty wells located around the hamadan-asadabad highway. the quality of well water was examined by measuring amount of sodium, chloride, total hardness, total dissolved solid, elect...

normal 0 false false false en-us x-none fa background:  regarding the importance of right diagnosis in medical applications, various methods have been exploited for processing medical images solar. the method of segmentation is used to analyze anal to miscall structures in medical imaging. objective:  this study describes a new method for brain magnetic resonance image (mri) segmentation via a ...

This annotated bibliography summarizes studies of the rural economic development implications of highway investment. Primary emphasis is on research dealing with rural areas, but some urban studies are also cited. Topics covered include the aggregate economic effects of highway investment, the effects of highway investment on business location decisions and employment expansion, the effects of ...

In this paper, a modified segmentation algorithm for printed Farsi words is presented. This algorithm is based on a previous work by Azmi that uses the conditional labeling of the upper contour to find the segmentation points. The main objective is to improve the segmentation results for low quality prints. To achieve this, various modifications on local baseline detection, contour labeling an...

Road crack segmentation based on high-resolution images is an important task in road service maintenance. The undamaged surface area much larger than the damaged a highway. This imbalanced situation yields poor performance for convolutional neural networks. In this paper, we first evaluate mainstream network structure task. Second, inspired by second law of thermodynamics, improved method calle...

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), ...