An Image Segmentation by BFV and TLBO
Author
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-07
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper presents the establishing of a biconvex fuzzy variational (BFV) method with teaching learning based optimization (TLBO) for geometric image segmentation (GIS).
Firstly, a biconvex object function is adopted to process GIS.
Then, TLBO is introduced to maximally optimize the length penalty item (LPI), which will be changed under teaching and learner phase of TLBO, making the LPI closer to the target boundary.
Afterward, the LPI can be adjusted based on fitness function, namely, the evaluation standards of image quality.
Finally, the LP is combined item with the numerical order to get better results.
Different GIS strategies are compared with various fitness functions in terms of accuracy.
Simulations show that the presented method is more effective in this area.
American Psychological Association (APA)
Haydari, Muhammad. 2016. An Image Segmentation by BFV and TLBO. Advances in Fuzzy Systems،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1095079
Modern Language Association (MLA)
Haydari, Muhammad. An Image Segmentation by BFV and TLBO. Advances in Fuzzy Systems No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1095079
American Medical Association (AMA)
Haydari, Muhammad. An Image Segmentation by BFV and TLBO. Advances in Fuzzy Systems. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1095079
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095079