Laser & Optoelectronics Progress, Volume. 58, Issue 24, 2410006(2021)
Selective Enhancement-Based Shade Segmentation of Photovoltaic Array
An image segmentation algorithm based on selective enhancement is proposed to improve the occlusion recognition accuracy of shadows and leaves for photovoltaic (PV) arrays. The proposed algorithm enhances module images in the HSV color space to acquire “moss images”, to realize discoloration of shade and improve the contrast between shaded and unshaded parts. Then, the “moss images” are segmented to acquire the shaded outlines. Experimental results demonstrate that the position and areas of shadows and attached shelters (leaves, etc.) are more accurate after being processed by the proposed algorithm, which gets convenient conditions for the removal of shades and provides a basis for accurate modeling of PV arrays under partial shadow conditions.
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Zheyu Li, Kun Ding, Jingwei Zhang, Chenyang Li, Zhang Li, Yongjie Liu. Selective Enhancement-Based Shade Segmentation of Photovoltaic Array[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2410006
Category: Image Processing
Received: Jan. 25, 2021
Accepted: Mar. 3, 2021
Published Online: Nov. 24, 2021
The Author Email: Ding Kun (dingk@hhu.edu.cn)