Work place: Department of Electonics, BD College of Engineering,Sevagram, Maharshtra, India
E-mail: priyachopkar@gmail.com
Website:
Research Interests: Engineering, Computational Engineering
Biography
Priyanka N. Chopkar has received Diploma in Electronics Engineering from BTE Mumbai in 2006, B.E. in Electronics & Telecommunication Engineering from Dr. B.A.M.U., Aurangabad, Maharashtra, INDIA in 2009 Pursuing M.Tech, in Electronics Engineering from R.T.M.N.U. Nagpur. She has more than 01 years of experience in teaching. She was Lecturer in Dept. of Electronics at Avdhoot diploma college of Engineering, Kuhi, Nagpur, INDIA.
By Vishal V. Panchbhai Lalit B. Damahe Ashwini V. Nagpure Priyanka N. Chopkar
DOI: https://doi.org/10.5815/ijigsp.2012.10.08, Pub. Date: 28 Sep. 2012
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.
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