Intelligent Technologies for Research and Engineering

Volume: 2

Analysis of Defects in Electroluminescent Images of Solar Panel using Image Processing Algorithms

Author(s): M. Nagarajan, S. N. Kumar*, H. Ajay Kumar and G. Meena

Pp: 111-126 (16)

DOI: 10.2174/9789815165586124020010

* (Excluding Mailing and Handling)


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.

Keywords: Direct simulation monte carlo, Fractional brownian motion, Knudsen number, Lattice-boltzmann, Mesoscopic methods, Nanoscale pores, Porous media, Rarefied flow, Reconstruction, Slipflow, Transition regime.

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