NDLI: The research of color sorting algorithm based on gray level co

Content Provider	IEEE Xplore Digital Library
Author	Weifeng Zhong Jinjin Chen Bopin Tian Yaji Xie
Copyright Year	2013
Description	Author affiliation: Sch. of Autom., Harbin Univ. of Sci. & Technol., Harbin, China (Weifeng Zhong; Jinjin Chen; Bopin Tian; Yaji Xie)
Abstract	The Color sorting technology is the core of color sorters. At present there are many image processing and recognition techniques applied to the color sorting technology. In this paper, we applied the Image Texture Analysis methods to identify the quality of the rice. We can collect the rice image through the CCD camera. Using the GLCM (Gray Level Co-occurrence Matrix) algorithm to deal with acquisition data of the rice image, by calculating the Energy, Entropy, Moment of Inertia and Relevance characteristic values of the rice at 0°, 45°, 90°, 135° direction. And comparing with the standard data of the intact rice, thus we can identify the quality of rice. Through used the MATLAB simulation experiment research, verify the effectiveness of the above color sorting algorithm, and obtained satisfactory results.
Sponsorship	IEEE Harbin Sect.
Starting Page	926
Ending Page	930
File Size	703180
Page Count	5
File Format	PDF
e-ISBN	9781479913923
DOI	10.1109/MIC.2013.6758111
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Charge coupled devices Color sorting technology Entropy Gray Level Co - occurrence Matrix Reliability Texture Analysis Rice
Content Type	Text
Resource Type	Article

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