%A Haiyong CHEN,Li YU,Hui LIU,Jiabo YANG,Qidi HU %T Solar cell defect images fusion based on empirical wavelet %0 Journal Article %D 2018 %J Journal of Shandong University(Engineering Science) %R 10.6040/j.issn.1672-3961.0.2018.249 %P 24-31 %V 48 %N 5 %U {http://gxbwk.njournal.sdu.edu.cn/CN/abstract/article_1714.shtml} %8 2018-10-01 %X

To solve the problem of the weak defect detection of solar cells, a multispectral image fusion algorithm based on 2D tensor empirical wavelet transform was proposed. The image information of solar cells was collected by using a set of specific wavelengths lights, and the noise was suppressed by using top-hat transformation. The preprocessed images were decomposed using empirical wavelet transform, and the obtained subband images of high and low frequency were fused using the saliency rules based on maximum value. The fused subband images of high and low frequency were transformed into the final image through inverse empirical wavelet transform. Cell images of five types of chromatic aberrations were acquired under the same acquisition conditions for testing algorithm, and were compared with other algorithms from two aspects of image visual effect and objective evaluation indexes. The experimental results showed that the proposed algorithm had good adaptability and good performance in the aspects of maintaining spectral information and suppressing noise.