Defect detection of solar cells in electroluminescence images using Fourier image reconstruction

By Du-Ming Tsai, Shih-Chieh Wu, Wei-Chen Li. 2012

183 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Media Technology

View Paper: https://www.semanticscholar.org/paper/8075381161ef78909817102e8a38fbf4c6920b45

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Media Technology

1. C. Buerhop‐Lutz
2. Andreas K. Maier
3. Christian Riess
4. Florian Gallwitz
5. Stephan Berger
6. Vincent Christlein
7. Sergiu Deitsch

Citations in the corpus

• Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images (2018, methodology): “[7] use Fourier image reconstruction to detect defective solar cells in EL images of polycrystalline PV modules.”
• Surface Defect Detection Methods for Industrial Products: A Review (2021, background): “(2012) [21] Fourier transform Solar cell Small cracks, breaks, and finger interruptions Can effectively detect various defects and be implemented for online, real-time defect inspection Yun et al.”