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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1387

Title: Date inspection by color machine vision
Authors: AI-Janobi, Abdulrahman A.
Keywords: Color Machine Vision
Agricultural Engineering
Issue Date: 2000
Publisher: King Saud University
Citation: Journal of King Saud University. Agricultural Sciences: 12 (1);69-79
Abstract: A color computer vision system consisting of a microcomputer with an image frame grabber and a CCD color camera was developed for sorting and grading Saudian dates (Sifri variety) based on a color thresholding technique. Samples of dates graded by experts were used for the experiment. Histograms of the RGB color bands were tested. Histogram features mean, variance, and wrinkle ratio were used as the criteria for classification of dates into four quality classes. The system showed an average classification error of 1.8% using features from the red color band.
URI: http://hdl.handle.net/123456789/1387
Appears in Collections:Journal of the King Saud University - Agricultural Sciences

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