Review on Detection and Counting of Red Blood Cells |
Author(s): |
| Ms. Padmashri Shahu Gavas , Sou. Sushila Danchand Ghodawat Institutions, Atigre, Kolhapur |
Keywords: |
| Image processing, MATLAB, Hough Transform, Gray level thresholding, Fuzzy C means, k means clustering |
Abstract |
|
Blood is the identifier of person’s health. Blood contents are normally white blood cells, red blood cells and blood platelets. All these three indicates the person’s health according to their range in blood. Hence at primary level of diagnosing the complete blood cell count is very important. And to analyze this count there are two methods which basically used everywhere in laboratories that are manual counting under microscope and hemo cytometer. Manual counting the blood cell under microscope is very stressful and sometimes give inaccurate count. Another methodology to count the blood cells is using Hemo Cytometer. It is very expensive and quite possible to make it available in every laboratory. So the techniques here will provide the count in real time and cost effective. |
Other Details |
|
Paper ID: IJSRDV4I21157 Published in: Volume : 4, Issue : 2 Publication Date: 01/05/2016 Page(s): 1115-1117 |
Article Preview |
|
|
|
|
