Study on on-line detection of mildewed tobacco leaves based on machine vision and MSD descriptors

被引：0

作者：

Liu, Bin ^{[1
]}

Zhu, Wenkui ^{[2
]}

Zhou, Yaning ^{[2
]}

Mao, Weijun ^{[1
]}

Zhong, Kejun ^{[1
]}

Xi, Jianping ^{[1
]}

Zhang, Hui ^{[1
]}

Wang, Yibin ^{[3
]}

Huang, Gang ^{[4
]}

机构：

[1] China Tobacco Hunan Industrial Co., Ltd., Changsha

[2] Zhengzhou Tobacco Research Institute, Zhengzhou

[3] Nanjing Jiao'er Science and Technology Ltd., Nanjing

[4] Kunming Julin Science and Technology Ltd, Kunming

来源：

Acta Tabacaria Sinica | 2015年 / 21卷 / 02期

关键词：

Detection of mildew tobacco; Machine vision; MSD descriptor; Tobacco leaves;

D O I：

10.16472/j.chinatobacco.2014.206

中图分类号：

学科分类号：

摘要：

In order to realize automatic screening of mildew tobacco leaves, a moldy tobacco online detection system based on machine vision was developed. Tobacco leaf images were obtained by high-speed linear CCD. MSD (Micro-structure descriptor) was used to extract image color, texture features. Neural network ensemble was adopted to generate individual learning algorithm, which realized the recognition of mildew tobacco leaves by training and learning. Recognition algorithm measure for mildew tobacco samples was up to 0.918. Results showed that recognition rate of target object was higher than 95% for mildew tobacco detection alone, while it was higher than 87% when mildew tobacco was mixed with normal tobacco leaves. It was indicated that the machine vision method is feasible for on-line selection of mildew tobacco leaves. ©, 2015, State Tobacco Monopoly Bureau and China Tobacco Society. All right reserved.

引用

页码：29 / 34

页数：5

共 2 条

[1]

Liu J.H., Zhang L., Hou Y.K., Image retrieval based on micro-structure descriptor, Pattern Recognition, 44, 9, pp. 2123-2133, (2011)

[2]

Wang X.Y., Wang Z.Y., A novel method for image retrieval based on structure elements descriptor, Journal of Visual Communication and Image Representation, 24, 1, pp. 63-74, (2013)

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