基于数学形态学的边缘检测技术在医学显微图像中的应用  

Application of Edge Detection Based on Mathematical Morphology in the Medical Microscope-Images

作　　者：黄毓珍[1] 林长方[2] 

机构地区：[1]福建医科大学附属漳州市医院病理科,福建漳州363000 [2]漳州卫生职业学院信息技术部,福建漳州363000

出　　处：《兰州文理学院学报（自然科学版）》2015年第5期51-54,共4页Journal of Lanzhou University of Arts and Science(Natural Sciences)

基　　金：福建省中青年教师科研项目(JB12312);漳州卫生职业学院院本课题(ZYZ201502)

摘　　要：根据病理诊断中显微图像质量较差,细胞形态不均、重叠、边缘不清等特性,运用数学形态学理论,设计一种基于Canny算子的图像边缘检测算法,并对显微图像进行边缘检测,实验结果表明相关算法对于显微图像的边缘提取有较好的效果,能够提高细胞诊断的效率,同时可满足后期细胞识别的需求.Microscopic images in pathological diagnosis has poor image quality,cell morphology is overlapping,and has unclear edges.According to these characteristics,the edge detection algorithm is designed based on Canny operator and mathematical morphology theory to extract the edge of the microscope-image.The experimental result shows that the algorithm has good effect of extracting the edge of microscope-image and improve the efficiency of cell diagnosis,and can meet the needs of cell identification in late stage.

关 键 词：数学形态学 边缘检测 CANNY算子 显微图像 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]