DocumentCode
2136491
Title
Improved Algorithm about Subpixel Edge Detection Based on Zernike Moments and Three-Grayscale Pattern
Author
Zheng Xiao-Peng ; Bi Yuan-Wei
Author_Institution
Sch. of Comput. Sci. & Technol., Yantai Univ., Yantai, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
4
Abstract
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 subpixel 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. A new pattern with three-grayscale for edge detection was put forward to detect the edge calculating masks of size seven multiply seven to get difference order Zernike moments. Additionally, experiments were designed and implemented. The experiment results show that accuracy of the improved algorithm is higher than that obtained from using Ghosal algorithm.
Keywords
Zernike polynomials; edge detection; Ghosal algorithm; Zernike moments; subpixel edge detection; three-grayscale pattern; Application software; Computer science; Computer vision; Gray-scale; Hysteresis; Image edge detection; Laplace equations; Noise robustness; Polynomials; Process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5303388
Filename
5303388
Link To Document