title: Modified grey-level models for active shape model training.
abstract: Active Shape Model (ASM) is a popular statistical shape model for objects localization. It combines a Point Distribution Model (PDM) and local grey-level model of each landmark point to achieve reliable and accurate result in image interpretation. However, in 2D images, the one-dimensional profile grey-level models will lose information in other directions. In this paper, we modeled the grey-level information of the k x k square neighbor region around each point, hoping to take more information into account. Yet, further works should be done in order to compare the searching results obtained by square grey-level models with those by one-dimensional profile grey-level models.
authors.affiliation: Coll. of Biomed. Eng., Capital Univ. of Med. Sci., Beijing.
authors.forename: Shuo
authors.initials: S
authors.lastname: Dong
authors.forename: Shuqian
authors.initials: S
authors.lastname: Luo
mesh_terms: D005145:Face / Q000033:anatomy & histology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D008958:Models, Molecular; D015233:Models, Statistical