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基于机器视觉的奶粉罐体商标区域定位方法
Alternative TitleLocation Method of the Trademark Area of Milk Powder Cans Based on Machine Vision
许敏1,2; 马钺1,2; 陈帅1,2; 徐首帅1,2
Department智能检测与装备研究室
Source Publication包装工程
ISSN1001-3563
2018
Volume39Issue:21Pages:27-31
Contribution Rank1
Funding Organization广州市科技计划(201604016033)
Keyword商标图案定位 模板匹配 透视投影变换
Abstract目的针对奶粉包装中高盖锁扣与罐体商标图案之间位置的不确定会影响美观和品牌关注度的问题,提出一种罐体商标图案定位方法。方法首先由透视投影变换模型获取罐体边缘上一对边缘点的摄像机坐标系下的坐标,并结合视线交叉原理,确定罐体截面圆在摄像机坐标系下的方程。其次通过模板匹配算法提取罐体上显著图案中心坐标,并获得该中心坐标与摄像机光心连线所成直线的方程。然后联立直线与截面圆的方程求交点,该交点表示显著图案中心点在截面圆上的位置。由于显著图案与商标图案相对位置已知,因此由显著图案中心坐标就可以间接求得商标图案中心坐标。结果该方法可完成罐体商标图案的快速测定,且测量精度达到±1°。结论该方法能够快速、准确地实现罐体商标区域的在线测量。
Other AbstractThe work aims to propose a method to position the pictorial trademark of milk powder cans regarding the problem that the uncertainty between the high cover lock of the milk powder package and the pictorial trademark of the can will affect the product aesthetics and brand awareness. First of all, the coordinates of a pair of edge points on the can edge in camera coordinate system were obtained through the perspective projection transformation model, and the equation of sectional circle of the cans was determined in camera coordinate system combined with the principle of lines-of-sight intersection. After that, the central coordinate of a significant pattern on the can was extracted by a temple matching algorithm. Hence, a line of sight between the central coordinate and the camera optical center was obtained. Then, the cross point was calculated based on the simultaneous equation of the straight line and sectional circle. The cross point indicated the position of center point of significant pattern on the sectional circle. As the relative position between the significant pattern and the pictorial trademark was known, the central coordinate of pictorial trademark could be indirectly obtained based on the central coordinate of the significant pattern. The proposed method was able to quickly measure the pictorial trademark of the cans with an accuracy up to ±1°. The proposed method can measure the trademark area of the cans online quickly and accurately.
Language中文
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/23571
Collection智能检测与装备研究室
Corresponding Author许敏
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院机器人与智能制造创新研究院
Recommended Citation
GB/T 7714
许敏,马钺,陈帅,等. 基于机器视觉的奶粉罐体商标区域定位方法[J]. 包装工程,2018,39(21):27-31.
APA 许敏,马钺,陈帅,&徐首帅.(2018).基于机器视觉的奶粉罐体商标区域定位方法.包装工程,39(21),27-31.
MLA 许敏,et al."基于机器视觉的奶粉罐体商标区域定位方法".包装工程 39.21(2018):27-31.
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