摘要
植物叶片的脉络与形态是研究植物特征的重要出发点,其包含了植物的内在属性及重要遗传信息,对植物种类的识别起着关键作用.由于植物叶片边缘及叶脉的复杂多变性,已有的叶脉提取方法难以有效地提取叶脉细节.针对以往方法的不足,利用图像方向能量方法进行植物叶脉提取,实验结果表明该方法能够提出较丰富的叶脉细节和边缘信息,提高了提取的精确性.
Vein and form of plant leaf are significant features for plant research, which include inherent property and genetic information. Plant leaf vein plays a crucial role in identifying plant species. Because of the complicated variety of leaf veins and edges, some traditional methods cannot extract the details of the veins effectively. According to the deficiency of the traditional method, a leaf vein extraction method based on the oriented energy is proposed. Some experimental results show that the method can gain rich vein details and edge information, and the accuracy of the extraction is improved.
出处
《应用数学与计算数学学报》
2012年第1期85-93,共9页
Communication on Applied Mathematics and Computation
基金
国家自然科学基金资助项目(61005002
61072147)
国家农业成果转化基金项目资助项目(2009GB2A000001)
上海市教委重点学科建设项目资助项目(J50101)
