TY - GEN
T1 - Classification of human parasite eggs based on enhanced multitexton histogram
AU - Flores-Quispe, Roxana
AU - Patino Escarcina, Raquel Esperanza
AU - Velazco-Paredes, Yuber
AU - Beltran Castanon, Cesar A.
PY - 2014
Y1 - 2014
N2 - The Content-based image retrieval (CBIR) systems and their application in different areas of development, are current research topics, for that reason in this study content-based image retrieval is applied to classificate eight different human parasite eggs: Ascarias, Uncinarias, Trichuris, Dyphillobothrium-Pacificum, Taenia-Solium, Fasciola Hepática and Enterobius-Vermicularis, which are into the class of Helminthes, from their microscopic images. This proposed system includes two stages. In first stage, a feature extraction mechanism that is based on multitexton histogram descriptor (MTH) which has been improved and called 'Enhanced MTH'. In second stage, an CBIR system has been implemented in orden to classificate the differents microscopic images to identify their correct species. Finally, simulation result shows overall success rates of 92,16% in the classification.
AB - The Content-based image retrieval (CBIR) systems and their application in different areas of development, are current research topics, for that reason in this study content-based image retrieval is applied to classificate eight different human parasite eggs: Ascarias, Uncinarias, Trichuris, Dyphillobothrium-Pacificum, Taenia-Solium, Fasciola Hepática and Enterobius-Vermicularis, which are into the class of Helminthes, from their microscopic images. This proposed system includes two stages. In first stage, a feature extraction mechanism that is based on multitexton histogram descriptor (MTH) which has been improved and called 'Enhanced MTH'. In second stage, an CBIR system has been implemented in orden to classificate the differents microscopic images to identify their correct species. Finally, simulation result shows overall success rates of 92,16% in the classification.
KW - CBIR
KW - Human Parasite Eggs
KW - Multitexton Histogram descriptor
UR - http://www.scopus.com/inward/record.url?scp=84905842672&partnerID=8YFLogxK
U2 - 10.1109/ColComCon.2014.6860419
DO - 10.1109/ColComCon.2014.6860419
M3 - Conference contribution
AN - SCOPUS:84905842672
SN - 9781479943401
T3 - 2014 IEEE Colombian Conference on Communications and Computing, COLCOM 2014 - Conference Proceedings
BT - 2014 IEEE Colombian Conference on Communications and Computing, COLCOM 2014 - Conference Proceedings
PB - IEEE Computer Society
T2 - 2014 IEEE Colombian Conference on Communications and Computing, COLCOM 2014
Y2 - 4 June 2014 through 6 June 2014
ER -