Quantification of enzymatic browning kinetics in pear slices using non-homogenous L* color information from digital images
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Date
2009
Journal Title
Journal ISSN
Volume Title
Publisher
ELSEVIER SCIENCE BV
Abstract
A "fractal browning indicator" (FBI) methodology is presented, describing enzymatic browning based on irregular color patterns from digital pear slice surface images. It uses the Fourier fractal texture images to calculate a fractal dimension (FD) value in a selected area of the image, which represents the complexity of color distribution (lightness or L*) in the area analyzed. During the procedure, colors from digital images were first transformed to L*a*b* space color using a transformation function, in order to derivate a lightness color parameter (L*). Experiments were carried out in three pear cultivars: Packham pear (PP); Hosui Asiatic pear (AP) and Berries Pear (BIP). During the kinetics, the L* decreased when the FD increased, indicating a greater complexity in the distribution of the L* values in a selected analyzed area, during enzymatic browning kinetics, for all cultivars. The empirical power-law model was suitable for correlating enzymatic browning kinetics data both for the FBI and the traditional method (L* mean value is used). However, enzymatic browning rates for PP cultivars, using the FBI method, were 25 times higher than the rates obtained with the traditional method; and 4 times higher for other cultivars respectively. The empirical non first-order model was established for all cultivars for the FBI and traditional methods. (C) 2009 Elsevier Ltd. All rights reserved.
Description
Keywords
Enzymatic browning, Color, Pear slices, Computer vision systems, Fourier fractal texture, TEXTURE ANALYSIS, APPLE SLICES, PHENOLIC COMPOSITION, ASCORBIC-ACID, POTATO-CHIPS, FOOD QUALITY, INHIBITION, FRUITS, PREVENTION, MATURITY