Processing and recognition of the thermal images using wavelet transforms

Kosikowski, M.; Suszyński, Z.; Bednarek, Michał

doi:10.1016/j.microrel.2011.03.037

Cited by 9 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Ibarra-Castanedo et al (2004), Vergura and Falcone (2011) and Kosikowski, Suszynski, and Bednarek (2011), tools for preprocessing and processing IR images are proposed, when the acquired images cannot give satisfactory information about the condition of the inspected objects. Particularly, Ibarra-Castanedo et al (2004) suggest noise smoothing by means of, e.g.…”

Section: Thermal Image Processing Techniquesmentioning

confidence: 99%

“…Vergura and Falcone (2011) propose the application of both median and Gaussian filters and then edge detection to IR images with poor or insufficient information about the health of PV modules. On the other hand, Kosikowski et al (2011) propose methods based on both discrete and continuous wavelet transforms. In the same work, the space-scale representation of thermal image was used for the detection of thermal non-uniformities in the layered objects examined.…”

Section: Thermal Image Processing Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

Fault diagnosis of photovoltaic modules through image processing and Canny edge detection on field thermographic measurements

Tsanakas

Chrysostomou

Botsaris

et al. 2013

International Journal of Sustainable Energy

158

View full text Add to dashboard Cite

Today, conventional condition monitoring of installed, operating photovoltaic (PV) modules is mainly based on electrical measurements and performance evaluation. However, such practices exhibit restricted fault-detection ability. This study proposes the use of standard thermal image processing and the Canny edge detection operator as diagnostic tools for module-related faults that lead to hot-spot heating effects. The intended techniques were applied on thermal images of defective PV modules, from several field infrared thermographic measurements conducted during this study. The whole approach provided promising results with the detection of hot-spot formations that were diagnosed to specific defective cells in each inspected module. These evolving hot spots lead to abnormally low performance of the PV modules, a fact that is also validated by the manufacturer's standard electrical tests.

show abstract