International Journal of Applied Information Systems |
Foundation of Computer Science (FCS), NY, USA |
Volume 11 - Number 5 |
Year of Publication: 2016 |
Authors: Himali Vaghela, Hardik Modi, Manoj Pandya, M. B. Potdar |
10.5120/ijais2016451607 |
Himali Vaghela, Hardik Modi, Manoj Pandya, M. B. Potdar . A Novel Approach to Detect Chronic Leukemia using Shape based Feature Extraction and Identification with Digital Image Processing. International Journal of Applied Information Systems. 11, 5 ( Oct 2016), 9-16. DOI=10.5120/ijais2016451607
In this paper, some shape based features like area, perimeter, roundness, standard deviation etc. are used to recognize different types of white blood cells like monocyte, lymphocytes, eosinophil, basophil, neutrophils etc. Using image processing techniques, result can be obtained within 3-4 minute. To perform shape base features operation, contrast of RGB image has to be increased for better detection of white cells. After recognition of each and every cell, classification is performed to detect either it is CML (Chronic Myelogenous Leukemia) or CLL (chronic Lymphocytic leukemia). This algorithm is performed on 30 images. Out of 30, it is successful on 28 images. So it gives accuracy of 93.33%.