Color and defect sorting of bell peppers using machine vision
1990
Shearer, S.A. | Payne, F.A.
A machine vision algorithm for grading of fresh market produce according to color and damage was developed. Red-green-blue pixel intensity values were mapped to one of eight possible hues. Treating the relative hue distribution of pixels in six orthogonal views as quantitative variables, discriminant analysis was used to classify observations. When applied to the task of grading bell peppers, accuracies of up to 96% and 63% were found for grading by color and damage, respectively.
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书目信息
其它主题
Usda; United states
语言
英语
类型
Journal Article; Text
2024-02-29
MODS