The frequency features and application of edge detection differential operators in medical image.
- Author:
Jian WU
1
;
Hui DING
;
Guangzhi WANG
;
Haishu DING
;
Yiyi ZHOU
Author Information
1. Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Brain;
pathology;
Humans;
Image Enhancement;
methods;
Image Interpretation, Computer-Assisted;
methods;
Image Processing, Computer-Assisted;
Magnetic Resonance Imaging;
Pattern Recognition, Automated;
methods
- From:
Journal of Biomedical Engineering
2005;22(1):82-85
- CountryChina
- Language:Chinese
-
Abstract:
Edge detection is an absolutely necessary step in medical image processing, and the use of differential operators to detect edge is one of the most common and effective methods. In this paper are analyzed the frequency features of the Roberts operator, Prewitt operator, Sobel operator and Laplacian operator from the viewpoint of frequency domain, and it is proposed that the frequency features of the differential operators should be considered when differential operator is being used and/or constructed. Because edge detection operator is sensitive to the edge type, the appropriate operator should be adopted in different edge type detection. Finally, the importance and necessity of selecting edge detection operator are validated in the MRI image edge processing.
