Venation Extraction of Leaf Image by Bi-dimensional Empirical Mode Decomposition and Morphology

摘要：

　　Leaf vein extraction is a key feature for plant recognition.An efficient leaf vein extraction method is proposed in this paper by Bi-dimensional Empirical Mode Decomposition with Gray-scale Morphology Processing (BEMD-GMP).The raw image transforms gray image firstly,the Intrinsic Mode Functions (IMF) component of the gray image is decomposed by Bi-dimensional Empirical Mode Decomposition (BEMD).We choose the first IMF component to segment venation by Gray-scale morphology operator,because the high frequency component and the noise has been removed the first IMF component.We analyzed the four different evaluation criteria for Gabor filter,Canny filter,Canny operator,Soble operator and BEMD-GMP.The experimental results show that the method of BEMD-GMP can obtain more satisfactory results.

关键词： Bi-dimensional empirical mode decomposition Leaf Venation Extraction Gray-scale Morphology processing Edge Detection

作者: Wenshuang Yin Changcheng Xiang Liming Tang Shiqiang Chen

作者单位: School of Science Hubei University for Nationalities Enshi, China

会议类型: 国际会议

会议名称: 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference(IAEAC 2015)(2015 IEEE先进信息技术,电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 952-956

在线出版日期: 2015-12-19（万方平台首次上网日期，不代表论文的发表时间）