Feature Extraction and Automatic Recognition of Plant Leaf Using Artificial Neural Network

摘要：

Plant recognition is an important and challenging task.Leaf recognition plays an important role in plant recognition and its key issue lies in whether selected features are stable and have good ability to discriminate different kinds of leaves. From the view of plant leaf morphology (such as shape, dent, margin, vein and so on), domain-related visual features of plant leaf are analyzed and extracted first. On such a basis, an approach for recognizing plant leaf using artificial neural network is brought forward. The prototype system has been implemented.Experiment results prove the effectiveness and superiority of this method.

关键词： feature extraction plant leaf artificial neural network.

作者: WU Qingfeng LIN Kunhui ZHOU Changle

作者单位: College of Software Xiamen University Xiamen, Fujian 361005, P.R.China College of Information Science and Technology Xiamen University Xiamen, Fujian 361005, P.R.China

会议类型: 国际会议

会议名称: 第二届国际计算机新科技与教育学术会议(Proceedings of the Second International Conference on Computer Science & Education ICCSE2007)

会议地点: 武汉

会议语种:英文

页码: 47-50

在线出版日期: 2007-07-25（万方平台首次上网日期，不代表论文的发表时间）