摘要
针对传统植物识别方法工作任务量大,效率低下以及难以保证数据客观性的问题,提出了一种基于形状特征的植物叶片识别算法,并开发了一款C/S模式的植物叶片在线识别Android应用。叶片图像经预处理后,提取叶片的轮廓凸包顶点比、轮廓曲率方差等形状特征,采用KNN-SVM对叶片进行分类识别。实验结果表明,相比于一些已有识别算法,该算法可以达到更高的识别率;该Android应用稳定可靠,可以满足用户的需求。
As to the problems of traditional plant recognition methods for heavy workload, inefficiency and hard to guarantee the objectivity of the data, a plant leaf recognition algorithm based on shape features is presented and an Android application of online plant leaf recognition based on C/S model is developed in this paper. Firstly, the leaf image is preprocessed to get the leaf contour. Then, the traditional shape features and two new ones, the contour convex ratio for plant leaf and the variance of contour curvature, are extracted. Finally, the plant is recognized by using KNN-SVM. Experimental results show that the higher recognition rate can be obtained by using the proposed method compared to some existing algorithms.Also the Android application is stable and reliable for user’s requirement.
作者
李洋
李岳阳
罗海驰
蒋高明
丛洪莲
LI Yang;LI Yueyang;LUO Haichi;JIANG Gaoming;CONG Honglian(Ministry of Education Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi, Jiangsu 214122, China;Engineering Research Center of Warp Knitting Technology Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214122, China)
出处
《计算机工程与应用》
CSCD
北大核心
2017年第2期162-165,171,共5页
Computer Engineering and Applications
基金
中央高校基本科研业务费专项基金项目(No.JUSRP51404A
No.JUSRP211A38)
作者简介
李洋（1991—），男，硕士研究生，研究领域为图像处理、模式识别，E-mail：liyangtianmen@163.com;李岳阳（1973—），男，博士，副教授，硕士生导师，研究领域为人工智能、模式识别、图像处理;罗海驰（1973—），女，讲师，研究领域为图像处理和模式识别及其应用研究;蒋高明（1962—），男，博士，教授，博士生导师，研究领域为纺织装备的数字化与智能化;丛洪莲（1976—），女，博士，副教授，硕士生导师，研究领域为计算机在纺织中的应用。
