Automatic recognition and correction of solar cells

Xin Yang; LiGang Miao

doi:10.1117/12.2539653

14 August 2019 Automatic recognition and correction of solar cells

Xin Yang, LiGang Miao

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111791O (2019) https://doi.org/10.1117/12.2539653
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

Abstract

Researching and implementing efficient geometric correction algorithms can effectively improve the efficiency of image preprocessing of solar cells. In this paper, the image distortion repair method based on polynomial transformation and bilinear interpolation is studied. Then, the distorted image of the solar cell is divided into multiple sub-blocks, and the sub-blocks are respectively subjected to polynomial transformation-bilinear interpolation correction. During the reprocessing process, the redundancy effect caused by the coordinate transformation is minimized and the correction speed is improved. The example proves that the algorithm can solve the problem of distortion of solar cell image. This code also applies to the geometric correction requirements of other images that contain raster line features.

Citation Download Citation

Xin Yang and LiGang Miao "Automatic recognition and correction of solar cells", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111791O (14 August 2019); https://doi.org/10.1117/12.2539653

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