Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107104
Title: | Effective segmentation approach for solar photovoltaic panels in uneven illuminated color infrared images | Authors: | Wang, N Sun, ZL Zeng, Z Lam, KM |
Issue Date: | Mar-2021 | Source: | IEEE journal of photovoltaics, Mar. 2021, v. 11, no. 2, p. 478-484 | Abstract: | How to accurately segment a solar photovoltaic panel in an infrared image is an intractable problem due to some unfavorable factors. In this article, an effective approach is proposed for solar photovoltaic panel segmentation from infrared images. In order to alleviate the effect of uneven color distribution, a guided filter-based image-enhancement method is first devised to strengthen the edges of solar photovoltaic panels. Moreover, a two-stage method is proposed to detect the contour lines of solar photovoltaic panels. In our algorithm, first, after a thresholding operation, contours in the images are detected by means of a line-segment detector. Then, a method based on k-means clustering is employed to eliminate lines caused by noise or irrelevant background areas. In addition, a background-subtraction strategy is designed to achieve a more accurate segmentation result by removing the remaining background regions. Experimental results demonstrate the effectiveness and efficiency of the proposed method for the segmentation of solar photovoltaic panels. | Keywords: | Image enhancement Image segmentation K-means clustering Solar photovoltaic panel Straight line detection |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE journal of photovoltaics | ISSN: | 2156-3381 | EISSN: | 2156-3403 | DOI: | 10.1109/JPHOTOV.2020.3041189 | Rights: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication N. Wang, Z. -L. Sun, Z. Zeng and K. -M. Lam, "Effective Segmentation Approach for Solar Photovoltaic Panels in Uneven Illuminated Color Infrared Images," in IEEE Journal of Photovoltaics, vol. 11, no. 2, pp. 478-484, March 2021 is available at https://doi.org/10.1109/JPHOTOV.2020.3041189. |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Lam_Effective_Segmentation_Approach.pdf | Pre-Published version | 3.21 MB | Adobe PDF | View/Open |
Page views
2
Citations as of Jun 30, 2024
Downloads
2
Citations as of Jun 30, 2024
SCOPUSTM
Citations
9
Citations as of Jun 21, 2024
WEB OF SCIENCETM
Citations
5
Citations as of Jun 27, 2024
![](/image/google_scholar.jpg)
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.