烟草科技Issue(2)：69-74,6.DOI:10.16135/j.issn1002-0861.20150214
基于低能X射线透射成像的打叶片烟中烟梗在线检测
A Method for On-line Detection of Stem in Strips Based on Low-energy X-ray Transmission Imaging
摘要
Abstract
On the basis of different area density between tobacco stem and strip, a method for on-line detection of stem was developed by combining low-energy X-ray transmission imaging with real-time image analyzing and processing techniques, including morphological noise filter, gray degree threshold segmentation and attribution judgment. Optimal testing conditions were:the X-ray radiant intensity 70 keV, the detection belt speed 1.6 m/sec and the segmentation threshold 40 000. The results of experimentally validation showed that the recognition rate for free stem with the diameter over 1.5 mm or lamina-attached stem was higher than 98%. When mixing the later into a flow of laminae, the recognition and rejection rates of stem reached 94.5% and 92.5%, respectively. The test results of threshed strips showed that for strips of grade Y1 in cigarette brand Furongwang, the rejection rate of stem reached 93.6% at a flow rate of 1 000 kg/hour, which indicated that on-line detection of the stem in strips by low-energy X-ray transmission imaging was feasible.关键词
X射线/透射成像/片烟/烟梗/图像处理/检测Key words
X-ray/Transmission imaging/Strip/Tobacco stem, Image processing/Detection分类
轻工纺织引用本文复制引用
朱文魁,刘斌,毛伟俊,席建平,钟科军,张辉,王艺斌,黄岗,陈良元..基于低能X射线透射成像的打叶片烟中烟梗在线检测[J].烟草科技,2015,(2):69-74,6.基金项目
湖南中烟工业有限责任公司科技项目“在线智能化片烟精选系统的研制”（KY2011ZB0003）、“基于光学透视技术叶梗分离系统的研制”（KY2014ZB0011）。 （）
