Automated Protocol for Counting Malaria Parasites (P. falciparum) from Digital Microscopic Image Based on L*a*b* Colour Model and K-Means Clustering

Opoku-Ansah, Jerry; Anderson, Benjamin; Eghan, M.J.; Akyea, Angela; Boampong, Johnson Nyarko; Amuah, C.L.Y; Adueming, P. Osei-Owusu

dc.contributor.author	Opoku-Ansah, Jerry
dc.contributor.author	Anderson, Benjamin
dc.contributor.author	Eghan, M.J.
dc.contributor.author	Akyea, Angela
dc.contributor.author	Boampong, Johnson Nyarko
dc.contributor.author	Amuah, C.L.Y
dc.contributor.author	Adueming, P. Osei-Owusu
dc.date.accessioned	2023-09-29T10:27:37Z
dc.date.available	2023-09-29T10:27:37Z
dc.date.issued	2013-11
dc.identifier.uri	http://hdl.handle.net/123456789/8684
dc.language.iso	en	en_US
dc.publisher	University of Cape Coast	en_US
dc.subject	malaria parasites	en_US
dc.subject	image processing	en_US
dc.subject	segmentation	en_US
dc.subject	K-means	en_US
dc.subject	Lab* colour	en_US
dc.title	Automated Protocol for Counting Malaria Parasites (P. falciparum) from Digital Microscopic Image Based on Lab* Colour Model and K-Means Clustering	en_US
dc.type	Article	en_US