基于多尺度金字塔和改进区域生长的光伏图像裂纹检测算法

Meiping Song, Dongqing Cui, Chunyan Yu, Jubai An, Chein-I. Chang, Meping Song
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引用次数: 6

摘要

针对光伏图像中的裂纹检测问题,本文实现了一种基于多尺度金字塔和改进区域生长的光伏图像裂纹检测算法。首先,为了抑制裂纹区域的噪声,对图像进行滤波处理。然后,利用多尺度金字塔提取不同尺度光伏图像的断裂特征;提取的裂纹中存在明显的不符合裂纹特征的噪声干扰,可以通过优化过程去除。最后,本文重点研究了一种改进的定向区域增长算法,以补充检测到的裂缝。为了比较,本文还对小波模极大值法进行了测试。结果表明,该方法在噪声抑制、可疑裂纹去除和裂纹完整性方面具有较好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crack Detection Algorithm for Photovoltaic Image Based on Multi-Scale Pyramid and Improved Region Growing
Aiming at detecting cracks in photovoltaic images, a crack detection algorithm of photovoltaic images based on multi-scale pyramid and improved region growing is implemented in this paper. Firstly, in order to suppress noise from the crack area, the image is subjected to a filtering process. Then, the multi-scale pyramid is used to extract the fracture characteristics of photovoltaic images on different scales. There are obvious noise disturbances in the extracted cracks that do not conform to the characteristics of the cracks, which can be removed through an optimization process. Finally, this paper focuses on an improved directional region growing algorithm to complement the detected cracks. For comparison, the wavelet modulus maximum method is tested too. The results show that the proposed method has a better performance on noise suppression, suspect crack removing, and crack integrality.
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