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| 基于模拟退火算法的粮虫图像特征提取 | |
| 引用本文： | 周伟,黄凌霄,井冈山. 基于模拟退火算法的粮虫图像特征提取[J]. 北京农业, 2011, 0(9): 57-58 |
| 作者姓名： | 周伟 黄凌霄 井冈山 |
| 作者单位： | 宁夏大学数学与计算机学院; |
| 基金项目： | 国家大学生创新实验计划(N;091074907); 宁夏自然科学基金项目(NZ1030) |
| 摘 要： | 特征提取是储粮害虫图像识别中的重要环节,是识别系统的难点所在。针对粮虫的二值化图像提取出17个形态学特征;运用模拟退火算法从粮虫的17维形态学特征中提取出面积、周长等10个特征的最优特征子空间;采用支持向量机分类器对粮虫进行分类,识别率达到95.0000%以上,证实了基于模拟退火算法的粮虫特征提取的可行性。 |
| 关 键 词： | 特征提取 储粮害虫 图像识别 模拟退火算法 支持向量机 |
Feature Extraction for the Stored-grain Insect based on Simulated Annealing Algorithm Algorithm |
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| Zhou Wei,Huang Lingxiao,Jing Gangshan. Feature Extraction for the Stored-grain Insect based on Simulated Annealing Algorithm Algorithm[J]. Beijing Agriculture, 2011, 0(9): 57-58 | |
| Authors: | Zhou Wei Huang Lingxiao Jing Gangshan |
| Affiliation: | Zhou Wei Huang Lingxiao Jing Gangshan |
| Abstract: | The feature extraction is a very important and difficult part for the stored-grain insect detection system based on image recognition technology.The seventeen morphological features were extracted and normalized from the binary grain-insect images.The algorithm extracted ten features that were composed of the optimal feature space from the 17 morphological features,such as area and perimeter.Finally,the stored-grain insects were recognized by the support vector machine classifier,and the correct identificat... |
| Keywords: | feature extraction stored-grain insect image recognition simulated annealing algorithm support vector machine |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |