Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2012-08-01

Journal: Journal of Harbin Institute of Technology (New Series)

Included Journals: Scopus、EI

Volume: 19

Issue: 4

Page Number: 31-36

ISSN: 10059113

Abstract: This paper presents an algorithm of automatic bubble image segmentation using the improved ant colony optimization methodology. The ant colony optimization method is a metaheuristic algorithm, and has been applied in many fields. To reveal the versatility and appropriateness of automatic bubble image segmentation, the fuzzy clustering analysis method is employed in ant colony optimization algorithm. Compared with the well-known image feature extraction operators such as SUSAN and Canny, the proposed method can comparatively suitable to extract the gas bubbles image edge features. The experimental results show that the proposed method is effective and reliable, and can achieve satisfactory image edge extraction effect.