计算机技术与发展2018，Vol.28Issue(2)：191-195,5.DOI:10.3969/j.issn.1673-629X.2018.02.041
基于图像分割的目标尺寸特征测量
Object Dimension Feature Measurement Based on Image Segmentation
摘要
Abstract
In this paper,we mainly study the two methods of measuring dimensions of industrial components based on image segmentation, including the ones based on Hough transform and based on the minimum bounding rectangle algorithm,and develope an image measurement system.Two methods are applied respectively according to different target shapes in the system.When the rectangular degree is higher than the component threshold we use Hough transform to detect four edges of the component,and then integrate them for detection of the rectan-gle.Finally the component size is analyzed by geometry math.For the component with its rectangular degrees below threshold,we extract a minimum bounding rectangle by the minimum bounding rectangle algorithm,and then utilize the geometry math for its size.Two methods are experimented and compared in the error analysis,which shows that they are both effective and complementary.关键词
图像分割/特征测量/霍夫变换/最小外接矩形Key words
image segmentation/feature measurement/Hough transform/minimum enclosing rectangle分类
信息技术与安全科学引用本文复制引用
王颖,王鹏飞,杨余旺..基于图像分割的目标尺寸特征测量[J].计算机技术与发展,2018,28(2):191-195,5.基金项目
江苏省科技支撑计划(BE2012386,BE2011342) （BE2012386,BE2011342）
江苏省农业自主创新项目(CX(13)3054,CX(16)1006) （CX(13）
深圳市战略性新兴产业发展专项资金项目(JCYJ20130331151710105) （JCYJ20130331151710105）
