节点文献
基于动态阈值分割的目标提取技术
Object Extraction Technique Based on Dynamic Threshold Segmentation
【摘要】 如何从背景中提取目标信息是图像处理时经常遇到的技术难题。从火腿肠生产线质量检测遇到的实际问题出发,提出一种结合动态阈值分割、数学形态学和边缘检测的方法,实时检测图像中的异物信息。实验结果表明,该方法能快速检测目标信息,满足实际生产要求。
【Abstract】 How to extract object information from background is a technical problem in digital image processing. Aiming at sausage detection of the production line, a method combined with dynamic threshold segmentation, mathematical morphology and edge detection technique has been proposed. It can identify the abnormal information in image and judge the production qualified or not. According to the experiment result, the method proposed in this paper can detect the object information fast and can meet the practical requirement.
【关键词】 动态阈值分割;
数学形态学;
边缘检测;
目标提取;
【Key words】 dynamic threshold segmentation; mathematical morphology; edge detection; object extraction;
【Key words】 dynamic threshold segmentation; mathematical morphology; edge detection; object extraction;
【基金】 国家高技术研究发展计划(863计划)(编号:2007AA12Z152);上海市教委课题(编号:06FZ003)
- 【文献出处】 红外技术 ,Infrared Technology , 编辑部邮箱 ,2008年12期
- 【分类号】TP391.41
- 【被引频次】23
- 【下载频次】425