Analysis of Defects in Electroluminescent Images of Solar Panel using Image Processing Algorithms
- Authors: M. Nagarajan1, S. N. Kumar2, H. Ajay Kumar3, G. Meena4
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View Affiliations Hide Affiliations1 Department of Physics, Manonmaniam Sundaranar University Constituent College of Arts and Science, Palkulam, Anjugramam, Kanyakumari, Tamil Nadu, India 2 Department of EEE, Amal Jyothi College of Engineering, Kottayam, Kerala, India 3 Department of ECE, Mar Ephraem College of Engineering and Technology, Elavuvilai, Marthandam, Tamil Nadu, 629165, India 4 Department of Physics, Vivekananda College of Arts and Science, Kanyakumari, Tamil Nadu, India
- Source: Advanced Technologies for Science and Engineering , pp 111-126
- Publication Date: June 2024
- Language: English
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Computer-aided algorithms play a vital role in industrial automation; image processing algorithms have a wide variety of applications in the detection of defects in real-time studies. This chapter proposes image processing algorithms for the detection of defects in solar panel electroluminescent images. This research work proposes a median filter for the filtering of images followed by a region of interest extraction by fast fuzzy c-means clustering. The outcome of this work paves the way for researchers working in the processing of solar panel electroluminescent images for defects classification.
Hardbound ISBN:
9789815165593
Ebook ISBN:
9789815165586
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