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Received:May 05, 2011 Revised:May 31, 2011
Received:May 05, 2011 Revised:May 31, 2011
中文摘要: 图像分割在太阳能电池组件缺陷检测系统中,起着非常重要的作用。通过双峰法和最大类间方差法结合对太阳能电池的近红外图像进行图像分割和二值化,并得出缺陷的二值图。实验表明所提出的太阳能电池硅片的图像分割方法能快速准确地实现对图像的分割,得到了较好的二值图。为太阳能电池图像的缺陷特征的提取,以及进一步描述和分析奠定了良好的基础。
Abstract:Segmentation defects in the solar cell module detection system plays a very important role. In this paper, two peaks and maximum between-class variance of solar near-infrared image segmentation and image binarization and binary image obtained defects. Experiments show that the proposed silicon solar cell image segmentation method can achieve fast and accurate image segmentation, get a good binary image. Defects in the solar image feature extraction, and further description and analysis of laying a good foundation.
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张翰进,傅志中,念蓓,张忠亮,张冉.双峰法与otsu法结合在太阳能电池缺陷检测中的应用.计算机系统应用,2012,21(1):115-117,131
ZHANG Han-Jin,FU Zhi-Zhong,NIAN Bei,ZHANG Zhong-Liang,ZHANG Ran.Combination of Bimodal Method and Otsu Method in Defects Detection in Solar Cells.COMPUTER SYSTEMS APPLICATIONS,2012,21(1):115-117,131
张翰进,傅志中,念蓓,张忠亮,张冉.双峰法与otsu法结合在太阳能电池缺陷检测中的应用.计算机系统应用,2012,21(1):115-117,131
ZHANG Han-Jin,FU Zhi-Zhong,NIAN Bei,ZHANG Zhong-Liang,ZHANG Ran.Combination of Bimodal Method and Otsu Method in Defects Detection in Solar Cells.COMPUTER SYSTEMS APPLICATIONS,2012,21(1):115-117,131
