| 引用本文： |
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谢沛宏,陈华,徐峰,陈桂丹.基于管孔特征的木材树种图像识别[J].广西科学院学报,2011,27(4):323-325. [点击复制]
- XIE Pei-hong,CHEN Hua,XU Feng,CHEN Gui-dan.Wood Identification Based on Pore Feature by Digital Image Processing[J].Journal of Guangxi Academy of Sciences,2011,27(4):323-325. [点击复制]
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| 摘要: |
| 选取管孔的面积和周长作为基本特征,构造与之相关的10项特征,采用数字图像处理的方法和最小差值判别法,在MATLAB环境下对白桦、西南桦、水曲柳及柞木等4种阔叶树材的30幅显微图像进行处理和识别。结果26幅图像被正确识别,正确率为86.7%,识别效果良好。 |
| 关键词: 树种识别 管孔 图像处理 最小差值判别法 |
| DOI： |
| 投稿时间：2010-08-17 |
| 基金项目:广西人才培养模式创新实验区建设项目(桂教高教[2008]20号);广西大学高等教育教学改革工程"十一五"第三批立项项目(西大评估字[2007]13号)资助 |
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| Wood Identification Based on Pore Feature by Digital Image Processing |
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XIE Pei-hong1, CHEN Hua1, XU Feng2, CHEN Gui-dan2
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| (1.School of Computer and Electronics and Information, Guangxi University, Nanning, Guangxi, 530004, China;2.Forestry College of Guangxi University, Nanning, Guangxi, 530004, China) |
| Abstract: |
| Based on the digital image processing and the 10 selected features that are related to area and perimeter of the pores,30 microscopic images of white birch,alder birch,Manchurian ash and oak are processed and identified by Discriminance of Minimal Difference of Parameters(DMDP) in MATLAB.The result showed that 26 images are correctly identified with 86.7% accuracy and the method can be effectively used in wood identification. |
| Key words: wood identification pore digital image processing DMDP |
