计算机技术与发展2015，Vol.25Issue(11)：27-31,37,6.DOI:10.3969/j.issn.1673-629X.2015.11.006
基于归一化割的血吸虫卵图像分割
Segmentation of Schistosome Eggs Image Based on Normalized Cut
摘要
Abstract
It is a laborious work to identify the schistosome eggs under microscope. Because of fatigue testing and inattention,testing per-sonnel often causes false and leak detection. Traditional recognition system' s image segmentation method is simply using a single thresh-old,and the detection result is not satisfied normally. It is almost useless in the diagnosis of schistosome. So to improve the image segmen-tation algorithm becomes very necessary. In this paper,under the background of the study,in view of the schistosome eggs image segmen-tation,an improved normalized cut algorithm is proposed. Use gray weighting matrix to describe the relationship between the pixel,so as to avoid the operation of characteristics system,at the same time,combined with prior knowledge,according to the characteristics of the image itself automatically calculates the optimal segmentation figure number,which make segmentation result more accurate. The experi-mental result shows that the algorithm runs faster with higher accuracy than typical threshold segmentation algorithm.关键词
医学图像/血吸虫卵/图像分割/归一化割Key words
medical image/schistosome eggs/image segmentation/normalized cut分类
信息技术与安全科学引用本文复制引用
叶超..基于归一化割的血吸虫卵图像分割[J].计算机技术与发展,2015,25(11):27-31,37,6.基金项目
江苏省科技支撑计划(BE2013879) （BE2013879）
江苏省自然科学基金(BK20131365) （BK20131365）
江苏省第九批"六大人才高峰"高层次人才项目资助方案(DZXX-035) （DZXX-035）
