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Public health is one of the major concerns at the world level. Toxicology is an extremely challenging issue regarding that toxic substances are harmful to human health. In fact, toxicology studies are indispensable to evaluate the toxic effects on humans. Currently, a new evaluation technique based on the analysis of dendritic cells in vitro has been found by researchers. This analysis that remains...
Segmentation of the brain MRI into its constituent White Matter (WM), Gray Matter (GM) and Cerebrospinal Fluid (CSF) is a vital task for the diagnosis of various neurological diseases. In this work, mathematical morphology has been employed for contrast enhancement of the brain T2-wighted MRI, followed by segmentation with the help of Fuzzy C-means (FCM) clustering algorithm. The proposed method has...
Recognition of clustered fruits and vegetables is a most challenging subject in researches on the vision system of harvesting robot. A recognition algorithm for clustered tomatoes based on mathematical morphology was tested. This algorithm mainly included four steps. First, tomato image segmentation was realized based on a normalized color difference. Second, clustered region could be recognized according...
This paper present a novel ensemble method for clustering very high spatial resolution (VHR) images that is composed of four main steps. Firstly, because of the important role of the spatial component in VHR imagery, a set of morphological features are extracted from the original image using many openings and closings with increasing structural element sizes. Secondly, we construct the ensemble by...
On the basis of analyzing the blur images with noise, this paper presents a new segmentation method which is based on the morphology method, fuzzy K-means algorithm and some parts operator of the Canny algorithm. Because of the Canny's good performance on good detection, good localization and only one response to a single edge, we introduce the course of Canny operator that calculating the value and...
Complementary DNA microarray technology is a powerful tool in many areas. Usually a two channel microarray red-green (RG) image is obtained. Due to the nature of cDNA microarray technology, a number of impairments affect the cDNA microarray image before the analysis such as identification of differentially expressed genes. Microarray image processing plays a crucial role in the extraction and quantitative...
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