摘要
枪弹外观缺陷图像分割是枪弹质量检测的关键环节,为了实现枪弹外观缺陷自动准确分割,结合Hough变换和双峰法,提出了一种新的分割方法。该方法针对枪弹外观图像中间偏亮两侧偏暗的灰度分布特性,提取光照不均特征表现明显的G颜色分量图,利用改进的快速Hough直线检测法确定预分割缺陷区域;针对预分割缺陷区域的直方图特性,改进双峰法,分割缺陷,对分割结果利用数学形态学进行优化。实验表明,该方法能够实现快速准确的枪弹外观缺陷提取。
The image segmentation of bullet surface defect is an important step in checking the quality of bullet.In order to make sure the bullet surface detect is segmented accurately and automatically,a new method of image segmentation is proposed based on Hough transformation and two-peak algorithm.Because of the image of bullet surface is brighter in the center and darker at both sides,the gradation would be distributed asymmetrically,especially in the image of G component.According to the properties of bullet image,an improved HT algorithm is proposed to make certain the region of interest,which contains the property of the detect.In order to segment the detect and optimize the result,the two-peak algorithm based on the unique gradation histogram is improved,and the mathematicl morphology is exerted.The experiment result shows that this method makes it possible to extract the detect quickly and effectively.
出处
《火力与指挥控制》
CSCD
北大核心
2013年第5期129-132,共4页
Fire Control & Command Control
基金
总装重点预研基金资助项目
关键词
枪弹外观缺陷
直线检测
霍夫变换
灰度直方图
数学形态学
bullet surface defect
straight line detection
Hough transformation
gradation histogram
mathematicl morphology
