Fractal texture analysis of bread crumb digital images
By Ú. Gonzales-Barrón, F. Butler. 2008
67 citations recorded by the source corpus.
Subfields: Food Science
View Paper: https://www.semanticscholar.org/paper/25eb7e7cdf19d8f8acda9a701c0310b6375a44d0
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In Food Science
- F. Pedreschi
- J. Aguilera
- Roberto Quevedo
- J. Chanona‐Pérez
- G. Calderón‐Domínguez
- G. Gutiérrez-López
- F. Mendoza
- Dapeng Sun
Citations in the corpus
- Texture appearance characterization of pre-sliced pork ham images using fractal metrics: Fourier analysis dimension and lacunarity (2009, methodology): “…networks (Tang & Marangoni, 2006); in describing the visual appearance of bread crumb as well as obtaining correlations using trained panellists (Gonzales-Barron & Butler, 2008a; Gonzales-Barron & Butler, 2008b); and in determining the senescent spotting in bananas (Quevedo, Mendoza, Aguilera,…”
- Evaluation of Image Analysis Tools for Characterization of Sweet Bread Crumb Structure (2012, background): “In the same context, the range of cells used to evaluate the crumb features, with some exceptions (PérezNieto et al. 2010; Skendi et al. 2010; Gonzales-Barron and Butler 2008b; Crowley et al. 2000) is not mentioned.”
- Quantification of enzymatic browning in apple slices applying the fractal texture Fourier image (2009, background): “This has been possible because the image texture reflects the changes in pixel value intensity, which might contain information about the color and the geometric structure of objects (Du and Sun, 2004; Gonzales-Barron and Butler, 2008a,b,c; Quevedo et al., 2002, 2008b; Zheng et al., 2006).”