Selective Enhancement-Based Shade Segmentation of Photovoltaic Array

被引:1
|
作者
Li Zheyu [1 ]
Ding Kun [1 ]
Zhang Jingwei [1 ]
Li Chenyang [2 ]
Li Zhang [2 ]
Liu Yongjie [2 ]
机构
[1] Hohai Univ, Coll Mech & Elect Engn, Changzhou 213022, Jiangsu, Peoples R China
[2] Changzhou Key Lab Photovolta Syst Integrat & Prod, Changzhou 213022, Jiangsu, Peoples R China
关键词
image processing; selective enhancement; photovoltaic array; moss image;
D O I
10.3788/LOP202158.2410006
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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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页数:9
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