Red Blood Cells Estimation Using Hough Transform Technique

The number of red blood cells contributes more to clinical diagnosis with respect to blood diseases. Theaim of this research is to produce a computer vision system that can detect and estimate the number of redblood cells in the blood sample image. Morphological is a very powerful tool in image processing, and it isbeen used to segment and extract the red blood cells from the background and other cells. The algorithmused features such as shape of red blood cells for counting process, and Hough transform is introduced inthis process. The result presented here is based on images with normal blood cells. The tested data consistsof 10 samples and produced the accurate estimation rate closest to 96% from manual counting.