Open AccessMalaria Infected Erythrocyte Classification Based on the Histogram Features using Microscopic Images of Thin Blood Smear
Author(s) -
S. Devi,
Shah Alam Sheikh,
Anuradha Talukdar,
Rabul Hussain Laskar
Publication year - 2016
Publication title -
indian journal of science and technology
Language(s) - English
Resource type - Journals
eISSN - 0974-6846
pISSN - 0974-5645
DOI - 10.17485/ijst/2016/v9i45/94119
Subject(s) - pattern recognition (psychology) , artificial intelligence , histogram , support vector machine , computer science , naive bayes classifier , feature selection , blood smear , malaria , diagnosis of malaria , feature extraction , feature (linguistics) , segmentation , artificial neural network , image (mathematics) , plasmodium falciparum , pathology , medicine , linguistics , philosophy