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 :
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