Research of Two-view Breast Lesion Area Matching Based on Layering
Le Zhou · Jisuanji gongcheng · 2014
The breast image cannot match by using the method of rigid matching because of its non-rigid characteristics. To solve this problem, this paper proposes a mass matching method based on layering algorithm. Use the method of Otsu threshold segmentation to intercept the pectoral region and use the least-squares method to fit the chest wall line, and establish local coordinate system to identify the matching bar area by finding out the position of nipple and central axis. It extracts the suspected lesion area in the bar areas by using layering algorithm, and by measuring the similarity based on the weighted mutual information to realize the mass matching. It analyzes the feasibility of the stratified mass matching method and does experiments. This paper selects 100 pairs of images to carry out the experiments of mass match. The experimental results show that the layering algorithm for mass matching is more effective than the non-layered algorithm, and the matching precision reaches 86%.