应用叶片图像分割与特征融合的复杂背景植物识别方法  

Research of Plant Recognition Using Segmentation and Feature Fusion

作　　者：赵熙临[1] 单治磊 付波[1] 杨章 ZHAO Xilin;SHAN Zhilei;FU Bo;YANG Zhang(School of Electrical and Electronic Engineering,Hubei University of Technology,Wuhan 430068,China)

机构地区：[1]湖北工业大学电气与电子工程学院,湖北武汉430068

出　　处：《华侨大学学报（自然科学版）》2018年第2期274-280,共7页Journal of Huaqiao University(Natural Science)

基　　金：国家自然科学基金资助项目(61072130);国家教育部科研项目(教外司留20041685);湖北省科技厅重大专项项目(2013AEA001)

摘　　要：针对复杂背景的存在性,通过图像分割处理消除复杂背景因素对植物识别的负面影响.提出一种基于形态学变换的标记分水岭算法,对植物叶片进行重建的开闭操作,并使用标记分水岭算法对其进行分割.识别测试纹理与形状特征提取方式,了解图像分割算法对复杂背景消除的有效性.结果表明:提出的算法能有效分割复杂背景叶片.Considering of the existence of complex background,the negative effects of complex background factors on leaves recognition are eliminated by image segmentation.At the same time,a segmentation algorithm be founded on morphological transform is proposed to solve the over segmentation problem in the segmentation of plant leaves.After the opening and closing based on the reconstruction,the plant leaves are segment by marker watershed algorithm.The texture and shape features,extracted form the segmented leaves,are used to recognize the leaves.And the effectiveness of the recognition validates that the segmentation algorithm proposed in this paper is effective

关 键 词：植物叶片 图像分割 复杂背景 标志分水岭算法 形态学变换 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]