Canny Edge Detection Based On Iterative Algorithm

被引：4
|
作者：
Liu, Xumin [1 ]
Wang, Xiaojun [1 ]
Duan, Zilong [1 ]
机构：
[1] Capital Normal Univ, Coll Informat Engn, Beijing 100048, Peoples R China
来源：
INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS | 2014年 / 8卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Edge Detection; Red Blood Cells; Canny Operator; Mathematical Morphological Method;
D O I：
10.14257/ijsia.2014.8.5.05
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The images of different areas require different test results on the edge. In this paper, the images of red blood cells in medical field need to be detected theirs cell size, roundness, number and other features. For the test requirements, an image edge detection algorithm is proposed based on improved Canny operator. This algorithm calculates the optimal high and low dual-threshold by using iteration arithmetic, and uses mathematical morphology to thin the detected images. The results proved that this algorithm can effectively reduce interference and noise edge and make more prominent detection characteristics, which is good ready for subsequent processing of the image.
引用
收藏
页码：41 / 50
页数：10
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