International Journal of Applied Information Systems |
Foundation of Computer Science (FCS), NY, USA |
Volume 10 - Number 1 |
Year of Publication: 2015 |
Authors: Himali P. Vaghela, Hardik Modi, Manoj Pandya, M.B. Potdar |
10.5120/ijais2015451461 |
Himali P. Vaghela, Hardik Modi, Manoj Pandya, M.B. Potdar . Leukemia Detection using Digital Image Processing Techniques. International Journal of Applied Information Systems. 10, 1 ( November 2015), 43-51. DOI=10.5120/ijais2015451461
This paper discusses about methods for detection of leukemia. Various image processing techniques are used for identification of red blood cell and immature white cells. Different disease like anemia, leukemia, malaria, deficiency of vitamin B12, etc. can be diagnosed accordingly. Objective is to detect the leukemia affected cells and count it. According to detection of immature blast cells, leukemia can be identified and also define that either it is chronic or acute. To detect immature cells, number of methods are used like histogram equalization, linear contrast stretching, some morphological techniques like area opening, area closing, erosion, dilation. Watershed transform, K means, histogram equalization & linear contrast stretching, and shape based features are accurate 72.2%, 72%, 73.7 % and 97.8% respectively.