Automated Blood Cell Counting System Using Customized Hough Transform
Abstract: In this paper we tries to introduce an efficient and cost effective computer vision system for automatic blood cell counting using image based analysis, Which reduces the strain on the Technician and whose output is reliable and accurate. In this paper, a software based approach is used to count a number of blood cells from the blood samples image taken by the digital camera attached with the microscopic setup. In the pre-processing step the original blood samples image is converted into saturation image. Segmentation is done by histogram thresholding. Next step feature extraction is accomplished through differentiating a blood cell with each other and from background. The final step is to find out the number of blood cell from the blood samples image by using Circular Hough Transform technique.
Keywords: K - means clustering, Binarization, edge detection, Hough Transform and Circular Hough
How to Cite?: Rasika D Wattamwar, Dr. Mrs. Sadhana Chidrawar, "Automated Blood Cell Counting System Using Customized Hough Transform", Volume 6 Issue 6, June 2017, International Journal of Science and Research (IJSR), Pages: 1602-1607, https://www.ijsr.net/getabstract.php?paperid=ART20174594, DOI: https://dx.doi.org/10.21275/ART20174594