Automated nucleus segmentation of leukemia blast cells: CColor spaces study

Saksha Shinde, Neeraj Sharma, Prashant Bansod, Munendra Singh, Chandra Kant Singh Tekam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Leukemia detection using computer vision algorithms is a significant step in computer-assisted diagnosis for a pathologist. In order to extract the blood cells, many color space models are used for image enhancement and as the preprocessing steps. The present work compares the effect of the green, saturation, Cb and M component of RGB, HSV, YCbCr and CMY color spaces for segmentation of nucleus of blast cells in a leukemia patient's blood smear. The segmentation result of each color space for every ten images is divided into three categories i.e. only WBC segmentation, WBC with peripheral cells and all blood cell segmentation. The study demonstrates that the performance of segmentation is negatively correlated with contrast and illuminance of the input image. HSV and CMY models obtained 85% segmentation accuracy. The present study would help researchers to narrow down their selection when choosing a color space model for segmenting the nucleus of leukemia blast cells.

Original languageEnglish
Title of host publication2nd International Conference on Data, Engineering and Applications, IDEA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728157184
DOIs
Publication statusPublished - 02-2020
Event2nd International Conference on Data, Engineering and Applications, IDEA 2020 - Bhopal, India
Duration: 28-02-202029-02-2020

Publication series

Name2nd International Conference on Data, Engineering and Applications, IDEA 2020

Conference

Conference2nd International Conference on Data, Engineering and Applications, IDEA 2020
CountryIndia
CityBhopal
Period28-02-2029-02-20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Health Informatics

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