2016
DOI: 10.1016/j.jfoodeng.2015.07.015
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Multifractal breakage pattern of tortilla chips as related to moisture content

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Cited by 13 publications
(8 citation statements)
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“…This multifractal spectra were investigated for each rupture pattern of DL. The width of α (the spacing in the x ‐axis of multifractal spectrum) describes the irregularity, which is interpreted as the narrower the spectrum, the higher the homogeneity of the rupture pattern (García‐Armenta and others ). The multifractal spectra for different RH conditioned DL samples exhibit that pattern as RH increases up to 58% to 75% RH, the singularity spectrum becomes narrower whereas the lowest and highest RH condition showed a wider spectrum (Figure ).…”
Section: Resultsmentioning
confidence: 99%
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“…This multifractal spectra were investigated for each rupture pattern of DL. The width of α (the spacing in the x ‐axis of multifractal spectrum) describes the irregularity, which is interpreted as the narrower the spectrum, the higher the homogeneity of the rupture pattern (García‐Armenta and others ). The multifractal spectra for different RH conditioned DL samples exhibit that pattern as RH increases up to 58% to 75% RH, the singularity spectrum becomes narrower whereas the lowest and highest RH condition showed a wider spectrum (Figure ).…”
Section: Resultsmentioning
confidence: 99%
“…The original images were converted to 8‐bit format and an 8 × 8 mm 2 section was cropped including the rupture section of DL. Then, the threshold was obtained from range of 0 to 75 for subtracting the grey level histogram values of a binary image (García‐Armenta and others ).…”
Section: Methodsmentioning
confidence: 99%
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“…The quantification of microstructural changes of the foods must include morphometric parameters such as the fractal dimensions ( F d ), which is closely related to the lacunarity parameter ( L c ). F d has been defined as a numerical descriptor of morphology and irregularity of complex objects; whilst L c provides information on the spatial distribution of gaps of real data sets from it translational invariance at a given scale (García‐Armenta et al, ). These changes in the irregular patterns that form within the structure of the foods have been characterized with digital imaging analysis (Chanona‐Pérez et al, ; García‐Armenta et al, ).…”
Section: Introductionmentioning
confidence: 99%