Determination of senescent spotting in banana (Musa cavendish) using fractal texture Fourier image

By Roberto Quevedo, F. Mendoza, J. Aguilera, J. Chanona, G. Gutiérrez-López. 2008

101 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Food Science

View Paper: https://www.semanticscholar.org/paper/7bc8e6369da98c60d82b284d3654ec478cd892e1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. O. Díaz
2. F. Pedreschi
3. Roberto Quevedo
4. J. Aguilera
5. Sergio Cubero
6. J. Chanona‐Pérez
7. G. Calderón‐Domínguez
8. R. Farrera-Rebollo

In Food Science

1. F. Pedreschi
2. Roberto Quevedo
3. J. Chanona‐Pérez
4. G. Calderón‐Domínguez
5. María Jesús Perea-Flores
6. J. Aguilera
7. Da‐Wen Sun

Citations in the corpus

• Computer Vision System Applied to Classification of “Manila” Mangoes During Ripening Process (2014, background): “A particular application of this technology is the estimation of ripening or the study of the evolution of maturity of several produce in order to improve storage conditions or to be able to offer consumers better products (Quevedo et al. 2008; Furferi et al. 2010).”
• Quantification of enzymatic browning in apple slices applying the fractal texture Fourier image (2009, methodology): “A methodology similar to that developed by Quevedo et al. (2008b) for banana images, was used with three modifications: First, color images were transformed from RGB space color to L*a*b* space color using the model proposed by Leon et al. (2006) and used recently by Quevedo et al. (2008a).”