Leukemia Cancer Cells Segmentation And Detection Using Bradley Thresholding

Authors(2) :-J. Muni Lakshmi, Dr. C. Chandra Sekar

Blood malignancy chiefly assaults the blood, bone marrow or lymphatic framework. It is determined to have a blood test in which nearness of white platelets is checked by the hematologists which is an exceptionally tedious and dull and for the most part prompts late recognition Therefore need of programmed location is required to beat the impediments of manual audited process and early and quick identification. Beforehand unique strategies utilized as a part of request to diminish the many-sided quality of the framework. Along these lines need of programmed location is required to defeat the confinements of manual checked on process and early and quick discovery. In the present work applying the method of Bradley thresholding with a specific end goal to section the white platelets. The proposed calculation includes distinctive advances, for example, shading space transformation, shading thresholding, Bradley thresholding, sifting, marker controlled watershed and diverse morphological activities. This strategy yields favored execution over the other existing methodologies. This method gives the exact and legitimate results.

Authors and Affiliations

J. Muni Lakshmi
Department of MCA, Mother Theresa Institute of Computer Applications, Palamaner, India
Dr. C. Chandra Sekar
Department of MCA, Mother Theresa Institute of Computer Applications, Palamaner, India

White platelets; division; leukemia; morphological task; Bradley thresholding

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Publication Details

Published in : Volume 4 | Issue 2 | March-April 2018
Date of Publication : 2018-03-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 410-415
Manuscript Number : CSEIT184111
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

J. Muni Lakshmi, Dr. C. Chandra Sekar, "Leukemia Cancer Cells Segmentation And Detection Using Bradley Thresholding", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 2, pp.410-415, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT184111

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