Share Email Print

Proceedings Paper

Mahalanobis-distance image segmentation based on two-dimensional histogram
Author(s): Xinrong Zhang; Huili Zuo; Yongxin Yu
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

In this paper a new image segmentation method is presented that use modified Mahalanobis-distance (M-Mahalanobis- distance) as a criterion to classify the pixels in the (gray level, average gray level) scatter plot. The experiment results show that this algorithm can give better segmentation results with stronger robustness and faster speed for an image with low contrast, many details and noises.

Paper Details

Date Published: 21 September 2001
PDF: 6 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441471
Show Author Affiliations
Xinrong Zhang, Tianjin Univ. (China)
Huili Zuo, Tianjin Univ. (China)
Yongxin Yu, Tianjin Univ. (China)

Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition
Tianxu Zhang; Bir Bhanu; Ning Shu, Editor(s)

© SPIE. Terms of Use
Back to Top