title: [Research on automatic recognition system for leucocyte image].
abstract: The image segmentation method we use for leucocytes is based on image distance transformation, combining the region and edge approach, taking full advantage of image information. According to the shape, texture and color appearance of cells, we select 22 feature values and measure them. The classifier is designed on the statistical classification. A test for recognizing 831 leucocytes in 560 images shows that the classification accuracy is 96%. Clinical experts confirm this system; for it can automatically recognize leucocytes by pattern recognition technique, and it is demonstrably valid in practice.
authors.affiliation: Shenzhen People's Hospital, Shenzhen 518020, China.
authors.forename: Xuemin
authors.initials: X
authors.lastname: Tang
authors.forename: Xueyin
authors.initials: X
authors.lastname: Lin
authors.forename: Lin
authors.initials: L
authors.lastname: He
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D007962:Leukocytes / Q000166:cytology*; D010363:Pattern Recognition, Automated / Q000379:methods*