A Newly Improved Canny Algorithm of Image Edge Detection

DOI

10.2991/icimm-16.2016.68How to use a DOI?

Keywords

Edge detection; Median filtering; Gradient amplitude; Canny Detector

Abstract

A new adaptive Canny operator is proposed which aims at the effect of image edge areas when traditional Canny operator under Gaussian smooth and the shortcomings of threshold level need to be pre-set. Firstly, the adaptive median filtering is adopted to process image; Secondly, this paper adds the gradient template in the direction of and to calculate gradient amplitude; Finally, get the high and low threshold value of images by calculating gradient amplitude operation with the Otsu algorithm. In this paper, a series of experiments are designed and it verities the validity of the improved algorithm. The experiment results show that the improved Canny algorithm has a good anti-noise performance, and it can accurately detect the edge information. It reduces the existence of false edge and enhances the practicality of the algorithm.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Xiang Wu
AU  - Weibo Yu
AU  - Xiaotong Liu
AU  - Keping Liu
PY  - 2016/11
DA  - 2016/11
TI  - A Newly Improved Canny Algorithm of Image Edge Detection
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 369
EP  - 374
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.68
DO  - 10.2991/icimm-16.2016.68
ID  - Wu2016/11
ER  -