Edge connection based Canny edge detection algorithm
- Авторлар: Song R.1, Zhang Z.1, Liu H.2
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Мекемелер:
- Department of Information Engineering
- State Grid Jilin Electric Power Co.
- Шығарылым: Том 27, № 4 (2017)
- Беттер: 740-747
- Бөлім: Representation, Processing, Analysis, and Understanding of Images
- URL: https://bakhtiniada.ru/1054-6618/article/view/195240
- DOI: https://doi.org/10.1134/S1054661817040162
- ID: 195240
Дәйексөз келтіру
Аннотация
Double threshold method of traditional Canny operator detects the edge rely on the information of gradient magnitude, which has a lower edge connectivity and incomplete image information. Aiming at this problem, we proposed an edge detection algorithm based edge connection—the Hough Transform based Canny (HT-Canny) edge detection algorithm. HT-Canny algorithm guided by high threshold image, which obtains edge direction through calculating edge endpoint gradient and connects the edge by using the Hough Transform instead of traditional double threshold method. It avoids the limitation of traditional Canny algorithm, which must set the double threshold manually and protect the low intensity edge especially. The experimental results show that HT-Canny algorithm has stronger edge connectivity and can distinguish edge points and non-edge points effectively, which not only retain the advantages of the traditional Canny algorithm but also make the detection result more complete and comprehensive.
Негізгі сөздер
Авторлар туралы
Renjie Song
Department of Information Engineering
Хат алмасуға жауапты Автор.
Email: 1939811347@qq.com
ҚХР, Jilin, 132012
Ziqi Zhang
Department of Information Engineering
Email: 1939811347@qq.com
ҚХР, Jilin, 132012
Haiyang Liu
State Grid Jilin Electric Power Co.
Email: 1939811347@qq.com
ҚХР, Jilin, 132012
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