|Table of Contents|

Study on the Method of Extracting the Appearance Quality of Soybean Based onWavelet Moment(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2016年04期
Page:
679-682
Research Field:
Publishing date:

Info

Title:
Study on the Method of Extracting the Appearance Quality of Soybean Based onWavelet Moment
Author(s):
CHAI Yu-hua; SUN Wei-lin
College of Electrical and Information，Northeast Agricultural University，Harbin 150030，China
Keywords:
Soybean;  Machine vision;  Wavelet moment;  Feature extraction
PACS:
S565. 1
DOI:
10.11861/j.issn.1000-9841.2016.04.0679
Abstract:
Using of machine vision technology in detecting the appearance quality of soybean has become a hot spot in recentyears. It is one of the important contents for the extraction of soybean sample image. In order to improve the recognition rateand reduce the noise pollution，a new method of extracting the appearance quality of soybean based on wavelet moment hasbeen proposed. The algorithm is based on the wavelet transform of the image of the soybean sample，which can effectivelysolve the problem of the size and movement of the soybean itself. Ｒesults showed that this method can not only accurately describethe characteristics of the appearance quality of soybeans，but also is not sensitive to the noise. This method achievedhigh recognition accuracy and correct recognition rate reached 99%.

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Last Update: 2016-08-23