Share Email Print
cover

Proceedings Paper

A color image segmentation algorithm by integrating watershed with automatic seeded region growing and merging
Author(s): Guoxiong Xu; Yingmin Bu; Liqiang Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

A color image segmentation algorithm which integrates watershed with automatic seeded region growing and merging is proposed in the paper. Firstly, the image was transformed from RGB color space to HSI space. Next, watershed algorithm was applied to the image to obtain initial segmentation effect. And then, Based on the results of watershed segmentation, some regions in the image were selected as seeded regions automatically for seeds growth algorithm by making use of color differences and relative Euclidean distance. Finally, a region combining algorithm was executed to avoid excessive segmentation. The proposed method combines the advantages of watershed and region growing approach, and in accord with the human vision segmentation strategy. This algorithm was applied to segment some images, the experimental results confirm its effectiveness and efficiency.

Paper Details

Date Published: 28 November 2011
PDF: 8 pages
Proc. SPIE 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 820018 (28 November 2011); doi: 10.1117/12.904877
Show Author Affiliations
Guoxiong Xu, Anhui Univ. of Technology (China)
Yingmin Bu, Anhui Univ. of Technology (China)
Liqiang Wang, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 8200:
2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)

© SPIE. Terms of Use
Back to Top