Title :
Solar panel surface crack extraction using curve fitting
Author :
Meifang, Xu ; Haoquan, Wang ; Zhiguo, Gui
Author_Institution :
Inf. & Commun. Eng. Inst., North Univ. of China, Taiyuan, China
Abstract :
The solar panel surface crack is a very important factor affecting its performance. Analyzing the characteristics of the solar panel surface image, detecting and annotating the crack using the min filter, the paper proposes the method of cubic parametric spline curve fitting crack which is compared with the least-squares polynomial curve fitting. The experiments show that the former has smaller fitting error and more close to real crack.
Keywords :
curve fitting; feature extraction; least squares approximations; mechanical engineering computing; solar cells; surface cracks; curve fitting; least-squares polynomial; solar panel surface crack extraction; solar panel surface image; Costs; Curve fitting; Data mining; Filters; Optical fibers; Pixel; Polynomials; Spline; Surface cracks; Surface fitting; Crack extraction; Curve fitting; Parameter spline; Solar panel;
Conference_Titel :
Education Technology and Computer (ICETC), 2010 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6367-1
DOI :
10.1109/ICETC.2010.5529589
