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Image Enhancement based Improved Multi-scale Hessian Matrix for Coronary Angiography
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 126 - Number 10 |
| Year of Publication: 2015 |
| Authors: Kaifeng Chen, Qingbo Yin, Xiao Jia, Mingyu Lu |
10.5120/ijca2015906196
|
Kaifeng Chen, Qingbo Yin, Xiao Jia, Mingyu Lu . Image Enhancement based Improved Multi-scale Hessian Matrix for Coronary Angiography. International Journal of Computer Applications. 126, 10 ( September 2015), 1-4. DOI=10.5120/ijca2015906196
Abstract
The coronary angiography image is easy to be affected by many factors, such as vascular thickness varied huge, complex background noise, uneven illumination intensity and so on. The coronary angiography image is more difficult to deal with compared with other similar medical images. By using Hessian matrix multi-scale vascular detection method, the vicinity of blood vessels will yield a lot of background noise, and the small tiny blood vessels become blurred or even lost, which seriously affect the experiment results. In this paper, an improved multi-scale Hessian matrix is presented, combined with morphological top-hat operation for the detection of coronary angiography. The experimental results demonstrate the effectiveness of the proposed method.
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