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WEAKLY SUPERVISED SEGMENTATION OF CRACKS ON SOLAR CELLS USING NORMALIZED LP NORM

Abstract: 

Photovoltaic is one of the most important renewable energy sources for dealing with world-wide steadily increasing energy consumption. This raises the demand for fast and scalable automatic quality management during production and operation. However, the detection and segmentation of cracks on electroluminescence (EL) images of mono- or polycrystalline solar modules is a challenging task. In this work, we propose a weakly supervised learning strategy that only uses image-level annotations to obtain a method that is capable of segmenting cracks on EL images of solar cells. We use a modified ResNet-50 to derive a segmentation from network activation maps. We use defect classification as a surrogate task to train the network. To this end, we apply normalized Lp normalization to aggregate the activation maps into single scores for classification. In addition, we provide a study how different parameterizations of the normalized Lp layer affect the segmentation performance. This approach shows promising results for the given task. However, we think that the method has the potential to solve other weakly supervised segmentation problems as well.

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Paper Details

Authors:
Martin Mayr, Mathis Hoffmann, Andreas Maier, Vincent Christlein
Submitted On:
19 September 2019 - 8:15am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Martin Mayr
Paper Code:
1861
Document Year:
2019
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Document Files

ICIP_2019_eposter2pdf_1861.pdf

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[1] Martin Mayr, Mathis Hoffmann, Andreas Maier, Vincent Christlein, "WEAKLY SUPERVISED SEGMENTATION OF CRACKS ON SOLAR CELLS USING NORMALIZED LP NORM", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4727. Accessed: Jun. 07, 2020.
@article{4727-19,
url = {http://sigport.org/4727},
author = {Martin Mayr; Mathis Hoffmann; Andreas Maier; Vincent Christlein },
publisher = {IEEE SigPort},
title = {WEAKLY SUPERVISED SEGMENTATION OF CRACKS ON SOLAR CELLS USING NORMALIZED LP NORM},
year = {2019} }
TY - EJOUR
T1 - WEAKLY SUPERVISED SEGMENTATION OF CRACKS ON SOLAR CELLS USING NORMALIZED LP NORM
AU - Martin Mayr; Mathis Hoffmann; Andreas Maier; Vincent Christlein
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4727
ER -
Martin Mayr, Mathis Hoffmann, Andreas Maier, Vincent Christlein. (2019). WEAKLY SUPERVISED SEGMENTATION OF CRACKS ON SOLAR CELLS USING NORMALIZED LP NORM. IEEE SigPort. http://sigport.org/4727
Martin Mayr, Mathis Hoffmann, Andreas Maier, Vincent Christlein, 2019. WEAKLY SUPERVISED SEGMENTATION OF CRACKS ON SOLAR CELLS USING NORMALIZED LP NORM. Available at: http://sigport.org/4727.
Martin Mayr, Mathis Hoffmann, Andreas Maier, Vincent Christlein. (2019). "WEAKLY SUPERVISED SEGMENTATION OF CRACKS ON SOLAR CELLS USING NORMALIZED LP NORM." Web.
1. Martin Mayr, Mathis Hoffmann, Andreas Maier, Vincent Christlein. WEAKLY SUPERVISED SEGMENTATION OF CRACKS ON SOLAR CELLS USING NORMALIZED LP NORM [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4727