Improvement of single wavelength-based Thai jasmine rice identification with elliptic Fourier descriptor and neural network analysis

Kajpanya Suwansukho; Sarun Sumriddetchkajorn; Prathan Buranasiri

doi:10.1117/12.999852

30 November 2012 Improvement of single wavelength-based Thai jasmine rice identification with elliptic Fourier descriptor and neural network analysis

Kajpanya Suwansukho, Sarun Sumriddetchkajorn, Prathan Buranasiri

Author Affiliations +

Proceedings Volume 8558, Optoelectronic Imaging and Multimedia Technology II; 85580C (2012) https://doi.org/10.1117/12.999852
Event: Photonics Asia, 2012, Beijing, China

Abstract

Instead of considering only the amount of fluorescent signal spatially distributed on the image of milled rice grains this paper shows how our single-wavelength spectral-imaging-based Thai jasmine (KDML105) rice identification system can be improved by analyzing the shape and size of the image of each milled rice variety especially during the image threshold operation. The image of each milled rice variety is expressed as chain codes and elliptic Fourier coefficients. After that, a feed-forward back-propagation neural network model is applied, resulting in an improved average FAR of 11.0% and FRR of 19.0% in identifying KDML105 milled rice from the unwanted four milled rice varieties.

Citation Download Citation

Kajpanya Suwansukho, Sarun Sumriddetchkajorn, and Prathan Buranasiri "Improvement of single wavelength-based Thai jasmine rice identification with elliptic Fourier descriptor and neural network analysis", Proc. SPIE 8558, Optoelectronic Imaging and Multimedia Technology II, 85580C (30 November 2012); https://doi.org/10.1117/12.999852

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