安徽农业科学2011，Vol.39Issue(12)：7437-7439,3.
基于机器视觉的蜡质巢础的破损检测系统
Detection of Damaged Foundation Based on Machine Vision
摘要
Abstract
[ Objective ] Machine visual technique was applied to test the damage on wax nest foundation image. [ Method ] First, binaryzation, median filtering and image strengthening were conducted to the obtained nest foundation images. Then, damaged area was extracted by regional growth method. Damaged net foundation image was eliminated based on the damaged area. Software editor adopted Labview, lmaq and vision. [ Result ] According to the experiment, the test rate in the damaged area was 98.4％. [ Conclusion ] Danage test of net foundation image was performed by machine visual technique. The average corresponding speed of the system was fast and the test accuracy was high,which met the requirement of automatic production of net foundation.关键词
巢础/破损/机器视觉/Labview/Imaq VisionKey words
Nest foundation/ Damage/Machine vision/Labview/Imaq vision分类
信息技术与安全科学引用本文复制引用
齐晓娜,姜海勇..基于机器视觉的蜡质巢础的破损检测系统[J].安徽农业科学,2011,39(12):7437-7439,3.基金项目
河北省科技支撑计划项目(09220413). （09220413）
