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12 April 2002 Morphological boundary detecting method in cineangiogram image
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Proceedings Volume 4536, International Workshop on Photonics and Imaging in Biology and Medicine; (2002) https://doi.org/10.1117/12.462570
Event: International Workshop on Photonics and Imaging in Biology and Medicine, 2001, Wuhan, China
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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Feng Gui and QiWei Lin "Morphological boundary detecting method in cineangiogram image", Proc. SPIE 4536, International Workshop on Photonics and Imaging in Biology and Medicine, (12 April 2002); https://doi.org/10.1117/12.462570
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