Edge detection method of Doppler echocardiography based on morphological transformation

Ling Jiang Wang; Qi Liu; Tianfu Wang; Yi Zheng

doi:10.1117/12.538675

25 September 2003 Edge detection method of Doppler echocardiography based on morphological transformation

Ling Jiang Wang, Qi Liu, Tianfu Wang, Yi Zheng

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538675
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

Citation Download Citation

Ling Jiang Wang, Qi Liu, Tianfu Wang, and Yi Zheng "Edge detection method of Doppler echocardiography based on morphological transformation", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538675

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