Image segmentation of hollow blade mould based on C-V model using gradient vector

A large homogeneous area exist in the image of the hollow blade section, there are also some small film hole and flaw areas. However, the film hole and flaw shape are very important to the blade quality. The essential C-V model splits image with the homogeneous grayscale information, but the local i...

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Bibliographic Details
Published inJi suan ji ying yong yan jiu Vol. 32; no. 12; pp. 3814 - 3816
Main Authors Liu, Zhenkun, Gu, Zhongtao, Liao, Xiaobo, Cai, Yong
Format Journal Article
LanguageChinese
Published 01.12.2015
Subjects
Blades
Evolution
Image segmentation
Mathematical analysis
Molds
Optimization
Vectors (mathematics)
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Summary:A large homogeneous area exist in the image of the hollow blade section, there are also some small film hole and flaw areas. However, the film hole and flaw shape are very important to the blade quality. The essential C-V model splits image with the homogeneous grayscale information, but the local information were not used. This paper introduced the profile gradient vector to C-V model. In this way, the curve could always evolved along the steepest descent direction in the optimization procedure, and ultimately rested on the anticipant profile. So it all applied the grayscale global information and the local edge feature in the image section. The small local shape could be identified accurately along with the large homogeneous area. The image segmentation experiment of the hollow blade section proves the effectiveness of this method.
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ISSN:1001-3695
DOI:10.3969/j.issn.1001-3695.2015.12.068