Plant Leaf Classification Using Plant Leaves Based on Rough Set

摘要：

Plant classification using plant leaves has been an important and difficult task. The key question in plant classification is extraction features and reduction features. In this paper, a method of plant leaf classification is proposed based on the neighborhood rough set We mainly show that the is applicable to plant leaf classification. Experimental results on plant leaf image database demonstrate that the proposed method is effective and feasible for leaf classification.

关键词： neighborhood rough set leaf classification attribute reduction forward attribute reduction based on neighborhood model (FARNeM)

作者: Shanwen Zhang YouQian Feng

作者单位: Department of Engineering and Technology Xijing University, Xian 710123, China The Science Institute, Air-Force Engineering University Xian, 710051, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 521-525

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）