Boundary-based image segmentation using binary level set method

Guopu Zhu; Shuqun Zhang; Qingshuang Zeng; Changhong Wang

doi:10.1117/1.2740762

1 May 2007 Boundary-based image segmentation using binary level set method

Guopu Zhu, Shuqun Zhang, Qingshuang Zeng, Changhong Wang

Author Affiliations +

Optical Engineering, Vol. 46, Issue 5, 050501 (May 2007). https://doi.org/10.1117/1.2740762

Abstract

A novel binary level set method for boundary-based image segmentation is proposed, which is extended from region-based binary level set methods. The proposed binary level set method is based on the geometric active contour framework, which is a traditional level set method applied in boundary-based image segmentation. However, being different from the geometric active contour, the proposed binary level set method replaces the traditional level set function with a binary level set function to reduce the expensive computational cost of redistancing the traditional level set function. The experiments and complexity analysis show that the proposed binary level set method is more efficient than the geometric active contour for image segmentation while giving similar results to the geometric active contour.

©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Guopu Zhu, Shuqun Zhang, Qingshuang Zeng, and Changhong Wang "Boundary-based image segmentation using binary level set method," Optical Engineering 46(5), 050501 (1 May 2007). https://doi.org/10.1117/1.2740762

Published: 1 May 2007

ACCESS THE FULL ARTICLE

JOURNAL ARTICLE
3 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY