The canny edge detection and its improvement

Authors:
Xiaoju Ma;Bo Li;Ying Zhang;Ming Yan
Affiliations:
Kunming University of Science and Technology, Kunming, China;Kunming University of Science and Technology, Kunming, China;Kunming University of Science and Technology, Kunming, China;Kunming University of Science and Technology, Kunming, China
Venue:
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Year:
2012

Citing 5
Cited 0

Edge detection in the feature space

Image and Vision Computing
Edge Detection by Adaptive Splitting

Journal of Scientific Computing
The Color Monogenic Signal: Application to Color Edge Detection and Color Optical Flow

Journal of Mathematical Imaging and Vision
A novel bacterial foraging technique for edge detection

Pattern Recognition Letters
A New Digital Watermark Algorithm Based on the DWT and SVD

DCABES '11 Proceedings of the 2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science

Quantified Score

Hi-index	0.00

Visualization

Abstract

To solve the problem of the traditional Canny edge detection operator has the weaknesses in excessive smoothing image and adaptability, and improved the parameter Sigma and the method to obtain high threshold. We did experiments with gray image of two cases with noise and without noise. The experimental results show that the improved Canny edge detection operators can balance eliminating noise from getting more edge information, which has the well continuity of the edge detection, and can detect the edge detail of the image. According to the image adaptive calculation, the improved algorithm has the advantage of low computational complexity, less calculation time.