摘要
随着计算机应用技术高速发展,图像处理技术逐渐在众多技术中脱颖而出,该项技术已广泛的应用于各个领域内,其中基于图像处理技术的有色金属杂质识别就是非常重要的一项研究,将图像处理技术与计算机的应用结合对有色金属中的杂质进行识别,可以使有色金属的生产更高效,精确,从而也可以降低人工劳动力,提高生产效率,是目前国内一项非常重要的研究项目。
With the computer application technology rapid development,gradually in many image processing technology,this technology has been widely used in various fields,including non-ferrous metal impurities recognition based on image processing technology is a very important study,combines image processing technology and the application of computer for non-ferrous metals,which can identify the impurities can make non-ferrous metal production more efficient and accurate,thus can reduce the manual labor,improve the efficiency of production,is a very important research project in China up to now.
出处
《世界有色金属》
2017年第3期49-50,共2页
World Nonferrous Metals
关键词
灰度图像
亚像素算法
图像处理技术
杂质识别系统
gray image
Subpixel algorithms
Image processing technology
Impurities recognition system