Mahalanobis-distance image segmentation based on two-dimensional histogram

Xinrong Zhang; Huili Zuo; Yongxin Yu

doi:10.1117/12.441471

21 September 2001 Mahalanobis-distance image segmentation based on two-dimensional histogram

Xinrong Zhang, Huili Zuo, Yongxin Yu

Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001) https://doi.org/10.1117/12.441471
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Xinrong Zhang, Huili Zuo, and Yongxin Yu "Mahalanobis-distance image segmentation based on two-dimensional histogram", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); https://doi.org/10.1117/12.441471

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