NDLI: Color and shape grading of citrus fruit based on machine vision with fractal dimension

Content Provider	IEEE Xplore Digital Library
Author	Zhi-yuan Wen Lu-ming Shen Hui-ping Jing Kui Fang
Copyright Year	2010
Description	Author affiliation: College of Science, Hunan Agricultural University, Changsha, Hunan, China, P. R., 410128 (Zhi-yuan Wen; Lu-ming Shen; Hui-ping Jing) \|\| Information Science and Technology College, Hunan Agricultural University, Changsha, Hunan, China, P. R., 410128 (Kui Fang)
Abstract	In order to improve the citrus grading accuracy, fractal dimensions which characterize the color and shape features of citrus fruit were analyzed. Samples were from Citrus unshiu Marc.cv.unbergii Nakai. For each sample, images from peduncle, calyx and two opposite sides were collected. These four images were cut, removed backgrounds, and converted from RGB space to HSI one, then by the following methods, the color and shape features of citrus were extracted 1) HSI images were segmented according to hue value of 0°~20°, 20°~40°, 40°~60°, 60°~80°and 80°~100°. And each segment image was converted to binary image to retrieve box dimension, which character the color feature of fruit. 2) HSI images were converted to binary images, and then the imagines were edge detected and the box dimension of fruits profile of peduncle and one side, which character the shape features of fruits, were retrieved. Based on the box dimensions, a wavelet neural network was constructed to model the fruit color and shape grading system. Test results showed that for 120 sample fruits, the average correctness of color and shape grading was 95.83%, which mean box dimensions of equal segmentation of hue value 0°~100° revealed the color feature, and box dimensions of peduncle and side profile revealed fruit shape information. Color and shape grading accuracy meet the requirements for auto-grading of system real-time machine-vision.
Starting Page	898
Ending Page	903
File Size	338051
Page Count	6
File Format	PDF
ISBN	9781424465132
e-ISBN	9781424465163
DOI	10.1109/CISP.2010.5646892
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training grading Introduction citrus unshiu Marc.cv.unbergii Nakai Accuracy Image color analysis Shape Brightness Fractals box dimension color and shape Pixel machine vision
Content Type	Text
Resource Type	Article

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