title: Average row thresholding method for mammogram segmentation.
abstract: Two novel threshold techniques are proposed for image segmentation which is a very critical task in any image processing. The two methods are based in scanning each image row by row and to find the proper threshold value. A modification of this method is developed to find the threshold value by average. The two methods are implemented on a mammogram and accordingly, a comparison between the two methods is carried out.
authors.affiliation: PhD student at university of Bradford, School of Informatics, Richmond Road, Bradford, West Yorkshire, BD7 1DP, UK (Email: A.A.Abubaker@Bradford.ac.uk).
authors.forename: Ayman
authors.initials: A
authors.lastname: Abubaker
authors.forename: R S
authors.initials: RS
authors.lastname: Qahwaji
authors.forename: Musbah
authors.initials: M
authors.lastname: Aqel
authors.forename: Mohmmad
authors.initials: M
authors.lastname: Saleh