An Improved Region Growing Algorithm and Its Application in Coronary Artery Angiographic
Yingchao Chen · Journal of Xiamen University · 2013
The intensity of coronary artery angiograms is non-uniform since different organizations,such as the bones,muscles,and organs,have different absorption of X-ray during angiography.The classical region growing algorithm has poor effect on these non-uniform intensity images,and it is also inefficient since the seeds must select manually.An improved region growing algorithm is presented by this paper,which not only produce seeds automatically,but also use a local parameter in growing criteria.Then we used Miccai criteria to evaluate the result of our algorithm.The efficacy of the approach is demonstrated with experiments.