![]() To make the extraction results more accurate and reasonable, an improved region growth algorithm is proposed to optimize the extraction results. Finally, cracks were extracted by using the improved Fuzzy C-means (FCM) clustering combining the morphological and texture features of the cracks. Secondly, the edge can be extracted based on the modulus maximum method of the wavelet transform. Firstly, the background texture and multi-scale details are suppressed by the linear filter and the Laplace pyramid decomposition method. In this paper, a crack extraction method combining image texture and morphological features is proposed. Therefore, there is a complex and uneven texture background on the solar panel image, which makes the crack extraction more difficult. ![]() In addition, there are particles of irregular shape and size on the surface of the polycrystalline solar panel, whose reflection position and direction are random. Crack extraction of solar panels has become a research focus in recent years.
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