Liquor hop contour detection based on image processing

Authors

YANG Jingxian, Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Yibin, Sichuan 644000, China; School of Automation and Electronic Information, Sichuan University of Science and Engineering, Yibin, Sichuan 644000,
REN Xiaohong, Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Yibin, Sichuan 644000, China; School of Automation and Electronic Information, Sichuan University of Science and Engineering, Yibin, Sichuan 644000,

Abstract

Based on the traditional experience of liquor-receiving according to liquor hop, Computer vision is used instead of human eyes, the video images of liquor-receiving is captured by CCD, and the images of hops with different liquor degrees are preprocessed by histogram equalization and image corrosion to eliminate the influence of high light noise. Then hops contour is compared with different edge detection algorithms. Besides, the combination of OTSU algorithm and Canny edge detection algorithm can better realize the segmentation of hops and background, and clear edge contour is extracted. Through the pattern recognition of Daqing flower and Xiaoqing flower images, an effective grading basis for liquor-receiving automation is provided. This intelligent grading method can improve the stability and accuracy of the graded liquor-receiving process, and it is easy to realize the intelligent automation of the graded liquor-receiving process.

Publication Date

12-28-2019

First Page

52

Last Page

55,145

DOI

10.13652/j.issn.1003-5788.2019.12.010

Recommended Citation

Jingxian, YANG and Xiaohong, REN (2019) "Liquor hop contour detection based on image processing," Food and Machinery: Vol. 35: Iss. 12, Article 10.
DOI: 10.13652/j.issn.1003-5788.2019.12.010
Available at: https://www.ifoodmm.cn/journal/vol35/iss12/10

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