Earticle

초록

영어

Aimed at the defects of the traditional Canny operator, this paper puts forward an improved algorithm in edge detection. First, this paper gives a new method on selfadaptive image block based on threshold value. Next, by proposing a new hybrid filterbank of self-adaptive median and morphology, we adopt this hybrid filter-bank to smooth the noise image. Then, we add the information of gradient in two bevel directions, so that the information of gradient is more complete. Last, by using the threshold value to process the image of gradient which is after non-maxima suppression, we obtain the image edge. For the noise image, this improved algorithm not only can filter out noise well, but also the image edge is continuous, smooth, clear. The experimental results show that the improved algorithm has a good effect in edge detection, strong capability of noise immunity. The objective evaluation and visual effect are good, too.

목차

Abstract
 1. Introduction
 2. Traditional Canny Edge Detection Algorithm
 3. Improved the Edge Detection Algorithm
  3.1. Use Threshold for Image Block
  3.2. A New Hybrid Filter-bank About Adaptive Median and Morphology
  3.3. Calculate the Gradient Magnitude
  3.4. Improved Algorithm Process
 4. The Results and Analysis of Simulation
 5. Conclusions
 ACKNOWLEDGEMENTS
 References

키워드

저자

• Yu Chen [ School of Applied Science, Harbin University of Science and Technology, Harbin150080, China ]
• Caixia Deng [ School of Applied Science, Harbin University of Science and Technology, Harbin150080, China ]
• Xiaxia Chen [ School of Applied Science, Harbin University of Science and Technology, Harbin150080, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605