| 基于动态阈值分割的目标提取技术 |
| |
| 引用本文： | 刘杰, 安博文. 基于动态阈值分割的目标提取技术[J]. 红外技术, 2008, 30(12): 706-708,712. DOI: 10.3969/j.issn.1001-8891.2008.12.006 |
| |
| 作者姓名： | 刘杰 安博文 |
| |
| 作者单位： | 1. 上海海事人学,上海,200135
2. 上海海事人学,上海,200135;中国科学院上海技术物理研究所,上海,200083 |
| |
| 基金项目： | 国家高技术研究发展计划(863计划) ， 上海市教育委员会资助课题 |
| |
| 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.
|
| 关 键 词： | 动态阈值分割 数学形态学 边缘检测 目标提取 |
Object Extraction Technique Based on Dynamic Threshold Segmentation |
| |
| LIU Jie, AN Bo-wen. Object Extraction Technique Based on Dynamic Threshold Segmentation[J]. Infrared Technology , 2008, 30(12): 706-708,712. DOI: 10.3969/j.issn.1001-8891.2008.12.006 |
| |
| Authors: | LIU Jie AN Bo-wen |
| |
| Affiliation: | LIU Jie1,AN Bo-wen1,2 (1.Shanghai Maritime University,Shanghai 200135,China,2.Shanghai Institute of Technical Physics,Shanghai 200083,China) |
| |
| 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 re... |
| |
| Keywords: | dynamic threshold segmentation mathematical morphology edge detection object extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《红外技术》浏览原始摘要信息 |
|
点击此处可从《红外技术》下载全文 |
|
