Vishal V. Panchbhai; Lalit B. Damahe; Ashwini V. Nagpure; Priyanka N. Chopkar

RBCs and Parasites Segmentation from Thin Smear Blood Cell Images

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Author(s)

Vishal V. Panchbhai ^1,* Lalit B. Damahe ¹ Ashwini V. Nagpure ² Priyanka N. Chopkar ³

1. Depatment of IT, Priyadarshini College of Engineering, Nagpur, Maharashtra, India

2. Depatment of CT.,Yashwantrao Chavan College of Engineering,Nagpur, Maharashtra, India

3. Department of Electonics, BD College of Engineering,Sevagram, Maharshtra, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2012.10.08

Received: 6 Jun. 2012 / Revised: 10 Jul. 2012 / Accepted: 17 Aug. 2017 / Published: 28 Sep. 2012

Index Terms

Segmentation, Thresholding, RGB, Malaria parasites, RBC

Abstract

Manually examine the blood smear for the detection of malaria parasite consumes lot of time for trend pathologists. As the computational power increases, the role of automatic visual inspection becomes more important. An automated system is therefore needed to complete as much work as possible for the identification of malaria parasites. The given scheme based on used of RGB color space, G layer processing, and segmentation of Red Blood Cells (RBC) as well as cell parasites by auto-thresholding with offset value and use of morphological processing. The work compare with the manual results obtained from the pathology lab, based on total RBC count and cells parasite count. The designed system successfully detects malaria parasites and RBC cells in thin smear image.

Cite This Paper

Vishal V. Panchbhai,Lalit B. Damahe,Ashwini V. Nagpure,Priyanka N. Chopkar,"RBCs and Parasites Segmentation from Thin Smear Blood Cell Images", IJIGSP, vol.4, no.10, pp.54-60, 2012. DOI: 10.5815/ijigsp.2012.10.08

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International Journal of Image, Graphics and Signal Processing (IJIGSP)