摘要
在印刷图像的质量检测中,常用的技术手段是对印刷图像边缘特征信息进行提取。在算法检测中图像边缘更容易实现检测,可以通过图像的边缘信息判断图像的特征,从而更容易引起关注。论文通过对经典的Sobel算子增加检测模板的改进,将四个模板进行卷积得到边缘检测图,同时嵌入形态学高低帽变换算法增加检测图像边缘的细节和对比度,使改进的Sobel算子对图像边缘的检测得到优化,便于分析印刷图像的边缘信息。
In the quality detection of printed images, a common technical means is used to extract the edge feature information of the printed image. In the algorithm detection, the edge of the image is easier to detect, with the feature of the image judged by the edge information of the image, which is more likely to attract attention. By increasing the detection template of the classical Sobel operator, the four templates are convolved to obtain the edge detection map, with the morphological high and low hat transform algorithm added to increase the detail and contrast of the detected image edges. The improved Sobel operator is optimized for the detection of image edges, facilitating the analysis of the edge information on the printed image.
作者
张金凤
刘昕
ZHANG Jinfeng;LIU Xin(School of Printing, Packaging Engineering and Digital Media Technology,Xi’an University of Technology, Xi’an 710048, China)
出处
《西安理工大学学报》
CAS
北大核心
2019年第3期373-377,共5页
Journal of Xi'an University of Technology
基金
陕西省重大科技创新专项资金资助项目(2008ZKC02-13)
关键词
边缘检测
SOBEL算子
高低帽变换
edge detection
Sobel operator
high and low hat transformation
