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Proceedings Paper

Geometric moment based nonlocal-means filter for ultrasound image denoising
Author(s): Yangchao Dou; Xuming Zhang; Mingyue Ding; Yimin Chen
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Paper Abstract

It is inevitable that there is speckle noise in ultrasound image. Despeckling is the important process. The original nonlocal means (NLM) filter can remove speckle noise and protect the texture information effectively when the image corruption degree is relatively low. But when the noise in the image is strong, NLM will produce fictitious texture information, which has the disadvantageous influence on its denoising performance. In this paper, a novel nonlocal means (NLM) filter is proposed. We introduce geometric moments into the NLM filter. Though geometric moments are not orthogonal moments, it is popular by its concision, and its restoration ability is not yet proved. Results on synthetic data and real ultrasound image show that the proposed method can get better despeckling performance than other state-of-the-art method.

Paper Details

Date Published: 9 July 2011
PDF: 5 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80092L (9 July 2011); doi: 10.1117/12.896270
Show Author Affiliations
Yangchao Dou, Huazhong Univ. of Science and Technology (China)
Xuming Zhang, Huazhong Univ. of Science and Technology (China)
Mingyue Ding, Huazhong Univ. of Science and Technology (China)
Yimin Chen, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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