Improved Algorithm for Sub-Pixel Edge Detection Based on Zernike Moments

2011 ◽  
Vol 341-342 ◽  
pp. 763-767
Author(s):  
Bao Yong Zhao ◽  
Ying Jian Qi
Keyword(s):  
Edge Detection ◽  
Detection Algorithm ◽  
Zernike Moments ◽  
The Other ◽  
Original Image ◽  
Edge Detection Algorithm ◽  
Series Of Experiments ◽  
The One ◽  
New Criterion ◽  
Improved Algorithm

The principle of Zernike moments and the method of sub-pixel edge detection based on Zernike moments were introduced in this paper. With the consideration of the limitation of the sub-pixel edge detection algorithm by Ghosal, such as the lower location precision of the edge and the extracted wider edge than that of the original image, an improved algorithm was proposed. On the one hand, a mask of size nine multiply nine was calculated and could be applied for the edge detection. On the other hand, a new criterion for edge detection was put forward. Additionally, a series of experiments were designed and implemented. The experiment results show that accuracy of the improved algorithm is higher than that obtained from using other size templates and Ghosal algorithm.

Sub pixel Edge Detection Algorithm Based on Improved Wavelet Transform and Zernike Moments

2015 ◽  
Vol 22 (9) ◽  
pp. 50-54 ◽  
Author(s):  
文 涛 WEN Tao ◽  
左东广 ZUO Dong guang ◽  
李站良 LI Zhan liang ◽  
卫宾华 WEI Bin hua
Keyword(s):  
Wavelet Transform ◽  
Edge Detection ◽  
Detection Algorithm ◽  
Zernike Moments ◽  
Edge Detection Algorithm

A Novel Edge Detection Algorithm for Medical Image

2012 ◽  
Vol 151 ◽  
pp. 653-656
Author(s):  
Zhan Chun Ma ◽  
Xiao Mei Ning
Keyword(s):  
Edge Detection ◽  
Medical Image ◽  
Detection Algorithm ◽  
Canny Operator ◽  
Edge Detection Algorithm ◽  
Image Edge Detection ◽  
Traditional Algorithm ◽  
Image Edge ◽  
Improved Algorithm

CANNY operator had widely usage for edge detection; however it also had certain deficiencies. So the traditional CANNY operator about this is improved and puts forward a kind of new algorithm used for image edge detection. Compared improved algorithm with traditional algorithm for edge detection, simulations shows that new algorithm is more effective for image edge detection and the clearer detection result is obtained.

Subpixel edge-detection algorithm based on pseudo-Zernike moments

2010 ◽  
Author(s):  
Kun Zhang ◽  
Haiqing Chen ◽  
Qingwen Liang ◽  
Chong Huang ◽  
Jiakun Xu
Keyword(s):  
Edge Detection ◽  
Detection Algorithm ◽  
Zernike Moments ◽  
Edge Detection Algorithm

Application of Improved Canny Edge Detection Algorithm in Coal-Rock Interface Recognition

2012 ◽  
Vol 220-223 ◽  
pp. 1279-1283 ◽  
Author(s):  
Li Hong Dong ◽  
Peng Bing Zhao
Keyword(s):  
Edge Detection ◽  
Detection Algorithm ◽  
Canny Edge Detection ◽  
Edge Detection Algorithm ◽  
Canny Edge ◽  
Rock Interface ◽  
Coal Rock ◽  
Image Edge ◽  
Canny Algorithm ◽  
Canny Edge Detection Algorithm

The coal-rock interface recognition is one of the critical automated technologies in the fully mechanized mining face. The poor working conditions underground result in the seriously polluted edge information of the coal-rock interface, which affects the positioning precision of the shearer drum. The Gaussian filter parameters and the high-low thresholds are difficult to select in the traditional Canny algorithm, which causes the information loss of gradual edge and the phenomenon of false edge. Consequently, this paper presents an improved Canny edge detection algorithm, which adopts the adaptive median filtering algorithm to calculate the thresholds of Canny algorithm according to the grayscale mean and variance mean. This algorithm can protect the image edge details better and can restrain the blurred image edge. Experimental results show that this algorithm has improved the edge extraction effect under the case of noise interference and improved the detection precision and accuracy of the coal-rock image effectively.

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