Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-33478-8_7 | AICI |
Keywords | Field | DocType |
improved canny edge detection,edge information,edge detection,gray image,improved algorithm,calculation time,traditional canny edge detection,excessive smoothing image,canny edge detection,image adaptive calculation,edge detail | Canny edge detector,Computer vision,Image gradient,Deriche edge detector,Pattern recognition,Edge detection,Computer science,Smoothing,Artificial intelligence,Operator (computer programming),Computational complexity theory | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoju Ma | 1 | 0 | 0.34 |
| Bo Li | 2 | 971 | 111.71 |
| Ying Zhang | 3 | 87 | 20.05 |
| Ming Yan | 4 | 3 | 1.42 |