The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 53-705
Full Name: Shuhan Chen
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: No.174, Shazheng Street, Shapingba District, Chongqing
Country: CHINA
Tel:
Tel prefix:
Fax:
E-mail address: c.shuhan@gmail.com
Other E-mails:
Title of the Paper: Automatic edge detection using vector distance and partial normalization
Authors as they appear in the Paper: Shuhan Chen,Weiren Shi,Kai Wang
Email addresses of all the authors: c.shuhan@gmail.com,wrs@cqu.edu.cn,akyle@163.com
Number of paper pages: 10
Abstract: This paper proposes a novel edge detection method for both gray level images and color images, and which can overcome the limitations of gradient-based edge detection methods. A vector distance between feature vector and minimum vector which determines the edge intensity is defined based on four directional summed magnitude differences in a mask, and partial normalization is applied to facilitate threshold selecting. This paper also proposes an improved approach to determine the edge direction. According to the improved edge direction, non-maxima suppression is applied to thin edges, and final edges are extracted automatically using OTSU, even in a changing environment. Extensive experimental results have demonstrated that the proposed method does well in keeping low-contrast edges, selecting threshold and processing time
Keywords: Edge detection, Color edge detection, Vector distance, Partial normalization, Non-maxima suppression
EXTENSION of the file: .doc
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress: Image Processing
IP ADDRESS: 123.147.247.115
