摘要
在工程应用中,通常利用相机连接显微镜并控制载物台的移动来获取不同视域下的微观图像。在图像获取期间,采集设备可能会误判图像的清晰度,导致采集的图像比较模糊;此外,载物台的抖动和岩石薄片本身凹凸不平也会造成岩石图像区域模糊,进而破坏岩石颗粒纹路信息的完整性和降低拼接的全薄片图的整体质量。为了较完整地保留岩石颗粒的纹路信息以及提高全薄片图的质量,对模糊图像增强尤其必要。基于USM算法并结合Canny边缘检测算子对其改进,在Lab彩色空间对模糊图像进行锐化增强,具有一定的实用价值。
In engineering applications,it is common to use a camera to connect the microscope and control the movement of the stage to obtain microscopic images in different fields of view.During image acquisition,the acquisition device may misjudge the sharpness of the image,resulting in a blurred image.In addition,the jitter of the stage and the unevenness of the rock slice itself may cause the image of the rock to be blurred,thereby destroying the information of the rock grain.The integrity and overall quality of the spliced full sheet view.In order to preserve the texture information of the rock particles more completely and to improve the quality of the full-thin sheet,it is especially necessary to enhance the blur image.Proposes an improved algorithm that is based on the USM (UnSharp Mask) algorithm and combined with the Canny edge detection operator,it is sharpened and enhanced in the Lab color space,which has certain practical value.
作者
骆简
滕奇志
何海波
LUO Jian;TENG Qi-zhi;HE Hai-bo(Institute of Image,College of Electronics and Information Engineering,Sichuan University,Chengdu 610065;Chengdu Xitu Technology Limited Company,Chengdu 610065)
出处
《现代计算机》
2019年第1期57-62,共6页
Modern Computer
