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Proceedings Paper

Edge detection method of Doppler echocardiography based on morphological transformation
Author(s): Ling Jiang Wang; Qi Liu; Tianfu Wang; Yi Zheng
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Paper Abstract

Edge detection is an indispensible step in the computer vision and object recognition, because the most fundamental characteristic for image recognition is the edges of an image. Traditional edge detection algorithms have had fairly limited application in ultrasound medical imaging. High levels of speckling present in ultrasound medical images make accurate edge detections difficult. In this paper, a novel edge detection method based on mathematical morphology is presented. First, according to the statistical characteristic of the speckle, the speckle filtering method based on multidirectional morphological structure is presented. The experiment shows that the speckle noise has been filtered and image details have been preserved by the method based on local statistical property of the image; second, after a series of morphological transforms, the edge detection result shows that this method is reliable and effective. Certainly the speckle filtering and the edge detection are not the final objective and would like to be proved and perfected in the futher research such as 3D reconstruction of echocardiography.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538675
Show Author Affiliations
Ling Jiang Wang, Chengdu Univ. (China)
Qi Liu, Sichuan Univ. (China)
Tianfu Wang, Sichuan Univ. (China)
Yi Zheng, St. Cloud State Univ. (United States)

Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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