title: [Heart segmentation based on mathematical morphology And Otsu in visible human project images].
abstract: A multi-step method for extracting the heart image from visible human project (VHP) data was proposed in this paper. In the first step, Otsu's thresholding segmentation based on mathematical morphological techniques called opening-by-reconstruction and closing-by-reconstruction was used to preprocess the original image in order to effectively overcome the disadvantages of using only thresholding segmentation. The second step was to extract heart data from the proposed image. This multi-step method improved the computation efficiency and attained higher precision, suggesting its significant value for application in VHP.
authors.affiliation: Institute of Biomedical Engineering of Northwestern Polytechnical University, Xi'an 710072, China. shixixuan@126.com
authors.forename: Ping
authors.initials: P
authors.lastname: Shi
authors.forename: Yi
authors.initials: Y
authors.lastname: Wang
authors.forename: Haitao
authors.initials: H
authors.lastname: Zhao
authors.forename: Mengqi
authors.initials: M
authors.lastname: Wei
authors.forename: Hongyang
authors.initials: H
authors.lastname: Hao
mesh_terms: D000465:Algorithms; D002681:China; D006321:Heart / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement; D007091:Image Processing, Computer-Assisted; D008433:Mathematics; D053443:Visible Human Projects