The Open Automation and Control Systems Journal

2014, 6 : 426-432
Published online 2014 December 31. DOI: 10.2174/1874444301406010426
Publisher ID: TOAUTOCJ-6-426

Improved Canny Algorithm for Edge Detection of Core Image

Tian-Shi Liu , Rui-Xiang Liu , Ping-Zeng and Shao-Wei Pan
No. 18 Second Dianzi Road, Xi’an, China. Postcard: 710065.

ABSTRACT

Aiming at the disadvantages of edge detail loss and false edges in conventional Canny algorithm, this paper proposes an optimized Canny edge detection algorithm for edge detection of core image by combining self-adaption smooth filtering and self-adaptive threshold value. The algorithm, which retains the advantages of high signal to noise ratio, accurate positioning, single edge single response and etc in conventional Canny algorithm, has stronger de-noising capability and better edge-detection effect. The experiment results indicate that the improved algorithm can perform selfadaptive edge-detection on the core image and create a clear coherent detected edge of image which can display the edge feature better.

Keywords:

Canny algorithm, Core image, edge detection, image de-noising.