摘要
针对雨滴谱色斑图像重叠区域对比度低、难以准确分割的问题,提出了一种利用几何特征来分离重叠色斑图像方法。首先利用色斑图像选取待匹配的分割点,然后根据分割点和颗粒个数的对应关系确定色斑重叠的不同类型,提出了不同的分割点匹配规则,最后应用Br-esenham直线算法连接待匹配的分割点,分离重叠的色斑图像。该算法在Matlab环境下实现简单,速度快,效果理想,且在分离时解决采用形态学过度分割的问题。
A method of image segmentation based on boundary geometrical characteristics is proposed to solve the problem of the low contrast and difficulty segmentation of raindrop particle image.Candidate inflexions are positioned by the contour concavity, and different matching rules are given by comparing the numbers of inflexions with the numbers of particle image. Segmentation lines are drawn based on Bresenham algorithm and overlapping particles image are separated by connecting the candidate inflexions. The algorithm is simple and effective, while the results meet the requirements.
出处
《长春工业大学学报》
CAS
2012年第6期696-699,共4页
Journal of Changchun University of Technology
基金
吉林省教育厅"十一五"科学技术研究基金资助项目(吉教科合字2008第37号)
