Shape Analysis of Erythrocytes using Mean Shift Segmentation

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2014 by IJETT Journal
Volume-12 Number-1                          
Year of Publication : 2014
Authors : Umed Singh , Narender Singh


Umed Singh , Narender Singh. "Shape Analysis of Erythrocytes using Mean Shift Segmentation", International Journal of Engineering Trends and Technology (IJETT), V12(1),45-49 June 2014. ISSN:2231-5381. published by seventh sense research group


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, ?-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.


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Segmentation, Anemia, SGF, DV