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The Machine Recognition for Population Feature of Wheat Images Based on BP Neural Network

LI Shao-kun SUO Xing-mei BAI Zhong-ying QI Zhi-li Liu Xiao-hong GAO Shi-ju ZHAO Shuang-ning

中国农业科学（英文版）2002，Vol.1Issue(8)：885-889,5.
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中国农业科学（英文版）2002，Vol.1Issue(8)：885-889,5.

The Machine Recognition for Population Feature of Wheat Images Based on BP Neural Network

The Machine Recognition for Population Feature of Wheat Images Based on BP Neural Network

LI Shao-kun 1SUO Xing-mei 2BAI Zhong-ying 3QI Zhi-li 4Liu Xiao-hong 4GAO Shi-ju 4ZHAO Shuang-ning5

作者信息

  • 1. Institute of Crop Breeding and Cultivation/Key Laboratory of Crop Genetic (ж) Breeding, Ministry of Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
  • 2. Research Center of Xinjiang Crop High-yield, Shihezi University, Shihezi 8
  • 3. Department of Computer Science and Technology, Central University for Nationalities, Beijing 100081, P. R . China
  • 4. School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, P. R . China
  • 5. Institute of Crop Breeding and Cultivation/Key Laboratory of Crop Genetic (ж) Breeding, Ministry of Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, P. R . China
  • 折叠

摘要

Abstract

Recognition and analysis of dynamic information about population images during wheat growth periods can be taken for the base of quantitative diagnosis for wheat growth. A recognition system based on self-learning BP neural network for feature data of wheat population images, such as total green areas and leaves areas was designed in this paper. In addition, some techniques to create favorable conditions for image recognition was discussed, which were as follows: (1) The method of collecting images by a digital camera and assistant equipment under natural conditions in fields. (2) An algorithm of pixei labeling was used to segment image and extract feature. (3)A high pass filter based on Laplacian was used to strengthen image information. The results showed that the ANN system was availability for image recognition of wheat population feature.

关键词

Wheat/Population/Leaves areas/Image recognition/BP neural network

Key words

Wheat/Population/Leaves areas/Image recognition/BP neural network

引用本文复制引用

LI Shao-kun,SUO Xing-mei,BAI Zhong-ying,QI Zhi-li,Liu Xiao-hong,GAO Shi-ju,ZHAO Shuang-ning..The Machine Recognition for Population Feature of Wheat Images Based on BP Neural Network [J].中国农业科学（英文版）,2002,1(8):885-889,5.

基金项目

This project was supported by the National Natural Science Foundation of China (39970427), and "863"Opening Item (2001AA115190-02). （39970427）

中国农业科学（英文版）

2095-3119

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