摘要
在实际生活中,对图像进行采集时难免会出现重叠的现象,为了得到所需要的图像需要对其进行分割处理。传统的分割方式达不到很好的完整性和精确性,而且图像的分割受到了很多的限制。为了解决这种问题,提出了将高精度分割应用于多人重叠图像的采集中。文章的高精度分割是通过利用计算机相关的技术对多人重叠图像进行采集。对传统的主观评估方式进行优化,提出了一种质量评估的方式。最后通过实验仿真,得出通过使用计算机的相关技术,能够让采集的多人重叠图像有更好的整体效果。
In real life,it is inevitable that there will be overlap when collecting images.In order to get the required images,it needs to be segmented.Traditional segmentation methods do not achieve good integrity and accuracy,and image segmentation has received many limitations.In order to solve this problem,it is proposed to apply high-precision segmentation to the acquisition of multi-person overlapping images.The high-precision segmentation of this paper is to collect multi-person overlapping images by using computer-related techniques.The traditional subjective assessment method is optimized and a quality assessment method is proposed.Finally,through experimental simulation,it is concluded that the use of computer related technology can make the collected multi-person overlapping images have a better overall effect.
作者
金斌英
JIN Bin-ying(Taizhou Vocational and Technical College,Taizhou Zhejiang,318000,China)
出处
《粘接》
CAS
2020年第1期77-80,共4页
Adhesion
基金
浙江省教育规划课题(2015SCG169)。
关键词
高精度分割
多人重叠图像
计算机
图像质量
high-precision segmentation
multi-person overlapping image
computer
image quality