Literature DB >> 19021818

Quantifying nonhomogeneous colors in agricultural materials. Part II: comparison of machine vision and sensory panel evaluations.

M O Balaban1, J Aparicio, M Zotarelli, C Sims.   

Abstract

The average colors of mangos and apples were measured using machine vision. A method to quantify the perception of nonhomogeneous colors by sensory panelists was developed. Three colors out of several reference colors and their perceived percentage of the total sample area were selected by untrained panelists. Differences between the average colors perceived by panelists and those from the machine vision were reported as DeltaE values (color difference error). Effects of nonhomogeneity of color, and using real samples or their images in the sensory panels on DeltaE were evaluated. In general, samples with more nonuniform colors had higher DeltaE values, suggesting that panelists had more difficulty in evaluating more nonhomogeneous colors. There was no significant difference in DeltaE values between the real fruits and their screen image, therefore images can be used to evaluate color instead of the real samples.

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Year:  2008        PMID: 19021818     DOI: 10.1111/j.1750-3841.2008.00967.x

Source DB:  PubMed          Journal:  J Food Sci        ISSN: 0022-1147            Impact factor:   3.167


  3 in total

1.  A cheap protocol for colour measure and for diagnostic in planning a cultural heritage restoration. Case study: main façade of Palazzo Governi (Cagliari, Sardinia, Italy).

Authors:  M P Sammartino; C Genova; S Ronca; G Cau; G Visco
Journal:  Environ Sci Pollut Res Int       Date:  2016-12-15       Impact factor: 4.223

2.  Assessing the quality of Smilacis Glabrae Rhizoma (Tufuling) by colormetrics and UPLC-Q-TOF-MS.

Authors:  Xicheng He; Tao Yi; Yina Tang; Jun Xu; Jianye Zhang; Yazhou Zhang; Lisha Dong; Hubiao Chen
Journal:  Chin Med       Date:  2016-07-06       Impact factor: 5.455

3.  Determination of optimum oven cooking procedures for lean beef products.

Authors:  Argenis Rodas-González; Ivy L Larsen; Bethany Uttaro; Manuel Juárez; Joyce Parslow; Jennifer L Aalhus
Journal:  Food Sci Nutr       Date:  2015-04-24       Impact factor: 2.863

  3 in total

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