基于OpenCV 的大叶黄杨叶片特征视频图像检测

选用常用观赏性植物大叶黄杨的叶片作为待检测的苗圃苗木，基于OpenCV 进行关于大叶黄杨叶片检测识别程序的编写，训练得到了检测大叶黄杨叶片级联的Boosted 分类器，通过检测Haar 特征，旨在找到一种能够从复杂背景视频图像中检测大叶黄杨叶片的动态检测方法，满足苗圃除草机的检测识别要求。通过试验检测的数据和实际测试的结果证实，基于OpenCV 的特征物体检测方法对复杂背景视频图像中的大叶黄杨叶片检测是可行的，也是较简便的。

Euonymus japonicus leaf characteristics videoimage detection based on OpenCV

This article selected and used leaves of a common ornamental plant Euonymus japonicus as detectednursery stock, based on the OpenCV, wroe a program which could detect and identify E. japonicus leaf, through training,Boosted classifier to detect E. japonicus was obtained, and by detecting the Haar characteristics, found out a dynamicdetection method which could detect the E. japonicus leaves from complex background video image, be satisfied with therequirements of the detection and identification of weeding in nursery. Confirmed by test data and the actual test results,this object detection method is feasible and convenient.