원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.8 No.5
2014.09
pp.41-50
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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.
목차
Abstract
1. Introduction
2. Canny Edge Detection Operator
2.1. The Three Criterion
2.2. The Process of Canny Operator Realization
3. Mathematical Morphology
3.1. The Basic Operations of Mathematical Morphology
3.2. The Thinning Algorithm of Mathematical Morphology
4. Basic Principles of the Improved Canny Edge Detection Operator
5. Iterative Algorithm for Segmentation Threshold
6. Specific Steps for the Improved Algorithm
7. Experiments and Analysis
8. Conclusion
Acknowledgments
References
1. Introduction
2. Canny Edge Detection Operator
2.1. The Three Criterion
2.2. The Process of Canny Operator Realization
3. Mathematical Morphology
3.1. The Basic Operations of Mathematical Morphology
3.2. The Thinning Algorithm of Mathematical Morphology
4. Basic Principles of the Improved Canny Edge Detection Operator
5. Iterative Algorithm for Segmentation Threshold
6. Specific Steps for the Improved Algorithm
7. Experiments and Analysis
8. Conclusion
Acknowledgments
References
저자정보
참고문헌
자료제공 : 네이버학술정보