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Proceedings Paper

Morphological boundary detecting method in cineangiogram image
Author(s): Feng Gui; QiWei Lin
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Paper Abstract

Atherosclerotic coronary heart disease (CHD) is one of the commonest diseases that is heavily hazardous to people's health. Wall motion abnormalities of L.V. due to myocardia ischeamia caused by coronary atherosclerosis is a significant feature of CHD. This paper was designed to build up a foundation for automatic detection of L.V. contours according to the features of L.V. cineangiograms, for a further study of L.V. wall motion abnormalities. An algorithm that based on morphology for L.V. contours extracting was developed in this paper. As we know morphology is a kind of technique based upon set theory and it can be used for binary image and gray image processing. The principle and the geometrical meaning of morphological boundary detecting for image were discussed in this paper, and the selection of structuring element was analyzed. Comparison was made between morphological boundary detecting and traditional boundary detecting method, conclusion that morphological boundary detecting method has better compatibility and anti-interference capability was reached.

Paper Details

Date Published: 12 April 2002
PDF: 5 pages
Proc. SPIE 4536, International Workshop on Photonics and Imaging in Biology and Medicine, (12 April 2002); doi: 10.1117/12.462570
Show Author Affiliations
Feng Gui, Jianghan Petroleum Univ. (China)
QiWei Lin, Jianghan Petroleum Univ. (China)

Published in SPIE Proceedings Vol. 4536:
International Workshop on Photonics and Imaging in Biology and Medicine
Qingming Luo; Britton Chance; Valery V. Tuchin, Editor(s)

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