SUSAN算法在植物叶缘特征提取中的应用  

Application of SUSAN Algorithm in Feature Extraction of Leaf Margin

作　　者：郑小东[1] 王晓洁[2] 高洁[1] 

机构地区：[1]郑州航空工业管理学院计算机科学与应用系,郑州450015 [2]郑州大学机械工程学院,郑州450002

出　　处：《中国农学通报》2011年第27期174-178,共5页Chinese Agricultural Science Bulletin

基　　金：河南省科技攻关项目"基于图像处理的植物叶特征描述"(102102110149);国家自然基金项目"基于视觉感知的遥感图像解译机理研究"(41171341);河南省教育厅项目"高斯混合模型及其在图像处理中的应用"(2011B520038)

摘　　要：叶缘特征是植物种类识别和分类的一个重要依据。根据植物学中对叶缘的描述,设计了计算机辅助植物叶缘特征提取方案。首先采用改进的SUSAN算法检测植物叶缘锯齿,然后计算叶缘锯齿数量、尖锐度、偏斜度3个特征参数。对多种类型的植物叶进行测试,结果表明,利用改进的SUSAN算法能够有效检测植物叶缘锯齿,3个特征参数体现了不同类型叶缘的形状差异,叶缘特征提取方案可用于植物叶缘定量分类。Leaf margin feature is one of the important bases in plant species identification and plant classification.A scheme of computer aided feature extraction of leaf margin has been designed based on descriptions of leaf margin in botany.Firstly,the leaf teeth were detected using an improved SUSAN algorithm.Then three feature parameters of leaf teeth were computed,which were the numbers,sharpness and inclination of the leaf tooth.The scheme was tested on a few types of leaf margin.The result showed that the improved SUSAN algorithm was a useful tool in leaf tooth detection,the three parameters reflected the shape difference among different types of leaf margin and the scheme could be applied in quantitative classification of leaf margin.

关 键 词：叶缘 特征提取 SUSAN算法 图像处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]