title: Quantifying nonhomogeneous colors in agricultural materials. Part II: comparison of machine vision and sensory panel evaluations.
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.
authors.affiliation: Fishery Industrial Technology Center, University of Alaska Fairbanks, Kodiak, AK 99615, USA. mob@sfos.uaf.edu
authors.forename: M O
authors.initials: MO
authors.lastname: Balaban
authors.forename: J
authors.initials: J
authors.lastname: Aparicio
authors.forename: M
authors.initials: M
authors.lastname: Zotarelli
authors.forename: C
authors.initials: C
authors.lastname: Sims
mesh_terms: D000818:Animals; D001185:Artificial Intelligence; D002417:Cattle; D003116:Color; D055253:Color Vision; D003365:Costs and Cost Analysis; D005505:Food Coloring Agents / Q000032:analysis; D005638:Fruit; D006801:Humans; D027845:Malus; D031022:Mangifera; D008460:Meat / Q000191:economics; D013649:Taste; D014675:Vegetables
chemical_list: D005505:Food Coloring Agents