摘要
在TEM纳米颗粒图像的颗粒识别中,颗粒与背景的分割是整个识别过程的基础和难点,本文通过对多种背景分割方法进行优缺点对比,结合TEM纳米颗粒图像的特点,采用最大相关性准则方法将颗粒与背景进行分割,并结合可以设定半径范围的中值滤波方法,不仅能够去除误分割进来的背景还能够去除不想要的较小的颗粒,其效果满意.
For particles recognition of the TEM nano-particle image,the segmentation of the particles and the background is the basis and difficulties of the entire identification process.In this paper,the maximum correlation criterion method is used to the segmentation of particles and background by comparing the advantages and disadvantages of a variety of background segmentation method and combining the characteristics of TEM nano-particles images.Combined with a median filtering method that can set a radius range,it can not only remove the background of the error segmentation but also remove the smaller particles that are not desired,the effect is satisfactory.
出处
《白城师范学院学报》
2017年第12期1-6,共6页
Journal of Baicheng Normal University
基金
吉林省教育科学“十二五”规划课题(ZZ1212).
关键词
纳米颗粒
背景分割
最大相关性准则
中值滤波
nano-particles
background segmentation
maximum correlation criterion
median filtering
