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A Novel Approach to Detect Chronic Leukemia using Shape based Feature Extraction and Identification with Digital Image Processing

by Himali Vaghela, Hardik Modi, Manoj Pandya, M. B. Potdar
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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

@article{ 10.5120/ijais2016451607,
author = { Himali Vaghela, Hardik Modi, Manoj Pandya, M. B. Potdar },
title = { A Novel Approach to Detect Chronic Leukemia using Shape based Feature Extraction and Identification with Digital Image Processing },
journal = { International Journal of Applied Information Systems },
issue_date = { Oct 2016 },
volume = { 11 },
number = { 5 },
month = { Oct },
year = { 2016 },
issn = { 2249-0868 },
pages = { 9-16 },
numpages = {9},
url = { https://www.ijais.org/archives/volume11/number5/941-2016451607/ },
doi = { 10.5120/ijais2016451607 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:04:12.935394+05:30
%A Himali Vaghela
%A Hardik Modi
%A Manoj Pandya
%A M. B. Potdar
%T A Novel Approach to Detect Chronic Leukemia using Shape based Feature Extraction and Identification with Digital Image Processing
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 11
%N 5
%P 9-16
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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%.

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Index Terms

Computer Science
Information Sciences

Keywords

Chronic leukemia detection shape based features extraction and identification image classification Medical Image Processing

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