Edge detection of mammary calcifications based on ant colony algorithm and fuzzy clustering
Yuhui Wang · Optical Technique · 2008
Detection of mammary calcifications is challenged in computer-aided diagnosis.Maximum grade of each pixel of digital image of mammograph is calculated.Pixels are divided into different group and all pixels in each group have the same val- ue of grade.Initial clustering centers are obtained through that grade area is divided into n equivalent parts.New clustering centers are obtained through simulating ant's search food behavior in which cluster pixels group work according to probability selection principle.New clustering result are obtained through fuzzy C-means by using the above clustering centers as initialized centers.The experimental results demonstrate that the algorithm is effective to obtain edges of calcifications by choosing appro- priate parameters.