Shape Analysis of Erythrocytes using Mean Shift Segmentation
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2014, Vol 12, Issue 1
Abstract
Blood disorders can cause morphological changes in mature red blood cells so by investigating blood smears morphologically, we can study and distinguish blood diseases such as anemia. In this paper we have taken the different red blood cell images and focused on extracting several features relating to shape, their circularity and elongation with the help of a decision logic all those various types of red blood cells were classified into 5 categories. According to the obtained results, diagnosis of blood disorders such as iron deficiency anemia, the anemia of chronic disease, β-thalassemia trait, sickle cell anemia has been obtained. We have segmented the corpuscles using mean shift technique and otus’s method is used for binarization. We then have successfully extracted the contours and then traversed the contour for extracting the four parameters –diameter, area, shape geometric factor(sgf) and deviation value(dv) and done the classification.
Authors and Affiliations
Umed Singh , Narender Singh
Keywords
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