文章摘要
Euonymus japonicus leaf characteristics videoimage detection based on OpenCV
  
DOI:
Author NameAffiliation
邓汉阳,赵东,郑嫦娥 北京林业大学工学院北京100083 
Hits: 1693
Download times: 773
Abstract:
      This article selected and used leaves of a common ornamental plant Euonymus japonicus as detected nursery 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 dynamic detection method which could detect the E. japonicus leaves from complex background video image, be satisfied with the requirements 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.
View Full Text   View/Add Comment  Download reader