Earticle

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

키워드

저자

• Xumin Liu [ College of Information Engineering, Capital Normal University, Beijing 100048, P. R. China ]
• Xiaojun Wang [ College of Information Engineering, Capital Normal University, Beijing 100048, P. R. China ]
• Zilong Duan [ College of Information Engineering, Capital Normal University, Beijing 100048, P. R. China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605