کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8146460 | 1524110 | 2016 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Automatized segmentation of photovoltaic modules in IR-images with extreme noise
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موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
فیزیک اتمی و مولکولی و اپتیک
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Automatized segmentation of photovoltaic modules in IR-images with extreme noise Automatized segmentation of photovoltaic modules in IR-images with extreme noise](/preview/png/8146460.png)
چکیده انگلیسی
However, IR-images tend to suffer from rather large noise, which makes an automatized segmentation challenging. The aim of this study was to establish a reliable segmentation algorithm for R&D labs. We propose an algorithm, which detects a solar cell or module within an IR-image with large noise. We tested the algorithm on images of 10 PV-samples characterized by highly sensitive dark lock-in thermography (DLIT). The algorithm proved to be very reliable in detecting correctly the solar module. In our study, we focused on thin film solar cells, however, a transfer of the algorithm to other cell types is straight forward.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Infrared Physics & Technology - Volume 76, May 2016, Pages 439-443
Journal: Infrared Physics & Technology - Volume 76, May 2016, Pages 439-443
نویسندگان
Andreas Vetter, Johannes Hepp, Christoph J. Brabec,