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Proceedings Paper

Improving the detection of cocoa bean fermentation-related changes using image fusion
Author(s): Daniel Ochoa; Ronald Criollo; Wenzhi Liao; Juan Cevallos-Cevallos; Rodrigo Castro; Oswaldo Bayona
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Paper Abstract

Complex chemical processes occur in during cocoa bean fermentation. To select well-fermented beans, experts take a sample of beans, cut them in half and visually check its color. Often farmers mix high and low quality beans therefore, chocolate properties are difficult to control. In this paper, we explore how close-range hyper- spectral (HS) data can be used to characterize the fermentation process of two types of cocoa beans (CCN51 and National). Our aim is to find spectral differences to allow bean classification. The main issue is to extract reliable spectral data as openings resulting from the loss of water during fermentation, can cover up to 40% of the bean surface. We exploit HS pan-sharpening techniques to increase the spatial resolution of HS images and filter out uneven surface regions. In particular, the guided filter PCA approach which has proved suitable to use high-resolution RGB data as guide image. Our preliminary results show that this pre-processing step improves the separability of classes corresponding to each fermentation stage compared to using the average spectrum of the bean surface.

Paper Details

Date Published: 5 May 2017
PDF: 6 pages
Proc. SPIE 10198, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII, 1019819 (5 May 2017); doi: 10.1117/12.2262827
Show Author Affiliations
Daniel Ochoa, Escuela Superior Politécnica del Litoral (Ecuador)
Ronald Criollo, Escuela Superior Politécnica del Litoral (Ecuador)
Wenzhi Liao, Univ. Gent (Belgium)
Juan Cevallos-Cevallos, Escuela Superior Politécnica del Litoral (Ecuador)
Rodrigo Castro, Escuela Superior Politécnica del Litoral (Ecuador)
Oswaldo Bayona, Escuela Superior Politécnica del Litoral (Ecuador)


Published in SPIE Proceedings Vol. 10198:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII
Miguel Velez-Reyes; David W. Messinger, Editor(s)

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