Share Email Print
cover

Proceedings Paper

Feature encoding for color image segmentation
Author(s): Ning Li; Youfu Li
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

An approach for color image segmentation is proposed based on the contributions of color features to segmentation rather than the choice of a particular color space. It is different from the pervious methods where SOFM is used for construct the feature encoding so that the feature-encoding can self-organize the effective features for different color images. Fuzzy clustering is applied for the final segmentation when the well-suited color features and the initial parameter are available. The proposed method has been applied in segmenting different types of color images and the experimental results show that it outperforms the classical clustering method. Our study shows that the feature encoding approach offers great promise in automating and optimizing color image segmentation.

Paper Details

Date Published: 21 September 2001
PDF: 5 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441437
Show Author Affiliations
Ning Li, Nanjing Univ. of Aeronautics and Astronautics (China)
Youfu Li, City Univ. of Hong Kong (Hong Kong)


Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition

© SPIE. Terms of Use
Back to Top