The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON MATHEMATICS
Transactions ID Number: 29-296
Full Name: Yaoyu Cheng
Position: Professor
Age: ON
Sex: Male
Address: College of information and communication engineering, North University of China
Country: CHINA
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E-mail address: chengyaoyu66@163.com
Other E-mails: chengyaoyu66@nuc.edu.cn
Title of the Paper: Defect Detection and Characteristics Description of Auto Hub Radiographic Image Based on SUSAN Operation
Authors as they appear in the Paper: YAOYU CHENG£¬ YAN HU£¬ YU WANG
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Number of paper pages: 10
Abstract: The collected images¡¯ target object is faint in the auto hub real-time X-ray detection, so it is easily making the miscarriage of justice in the auto hub detection. Most of the current method of detection of defects is by manual detection, so it is very difficult to improve detection efficiency and detection accuracy. Aiming at these issues and combining with the characteristics that auto hub¡¯s image have so much noise source, it is adopted SUSAN operator for defect images¡¯ edge detection, which is based on the image second partition, and it is achieved good results in edge detection by this method . And then it carried through defect detected for the image, such as, the number, level, center of gravity, area, and circle degree of defects. This can effectively improve the detection efficiency and the accuracy of detection. The experimental results show that the method is feasible in practical applications, and it has strong anti-interference ability, good real-t!
ime detection and high efficiency compared with traditional methods.
Keywords: auto hub£»SUSAN operation£»mask£»edge detection; Feature Description; Geometrical features; Shape Features
EXTENSION of the file: .pdf
Special (Invited) Session: Edge Detection Algorithm Based on SUSAN Operation on Auto Hub Image
Organizer of the Session: 613-203
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IP ADDRESS: 221.131.9.196
