| 基于图像处理技术的储粮害虫快速识别 |
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| 引用本文： | 胡祝华,赵瑶池,白勇,曹凤勤. 基于图像处理技术的储粮害虫快速识别[J]. 安徽农业科学, 2014, 0(30): 10784-10787 |
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| 作者姓名： | 胡祝华 赵瑶池 白勇 曹凤勤 |
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| 作者单位： | 1. 海南大学信息科学技术学院,海南海口,570228
2. 海南大学环境与植物保护学院,海南海口,570228 |
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| 基金项目： | 国家自然科学基金项目，海南省自然科学基金项目，海南省教育厅基金项目，海南大学青年基金项目 |
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| 摘 要： | 为了快速检测、识别出储粮虫害图像中的虫体信息,为虫害的综合防治提供依据,提出了一种基于图像处理技术的害虫检测与识别快速方法,该方法采用图像预处理技术、形态学开重建以及基于改进Hausdorff距离的模板匹配算法.结果表明：该方法不仅可以正确检测、识别出害虫信息,并且在检测与识别效率上基本达到了实时性检测的要求.
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| 关 键 词： | 图像处理 害虫识别 形态学操作 模板匹配 |
Fast Recognition of Pests Based on Image Processing Technology |
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| Affiliation: | HU Zhu-hua , ZHAO Yao-chi , BAI Yong et al ( College of Information Science ＆ Technology, Hainan University, Haikou, Hainan 570228 ) |
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| Abstract: | In order to detect and recognize quickly pests from stored grain pests image, which can provide the basis for comprehensive prevention and control, this paper put forward an image processing technology based quick method. This method adopted the technology of image preprocessing, morphological reconstruction and an improved hausdorff distance based template matching algorithm. The experimental results show that this method can not only obtain accurately the information of stored grain pests, and also the consume time has reached the real-time requirement. |
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| Keywords: | Image processing Recognition of pests Morphological operations Template matching |
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