大型锻件尺寸测量CCD图像的去噪算法研究  

The research of denoising algorithm about the CCD image of large-size forging workpiece

作　　者：李树奎[1] 聂绍珉[1] 唐景林[1] 吴鹏[1] 

机构地区：[1]燕山大学机械工程学院,秦皇岛066004

出　　处：《塑性工程学报》2009年第1期202-205,共4页Journal of Plasticity Engineering

基　　金：国家自然科学基金资助项目(50575194)

摘　　要：大型锻件热态尺寸测量一直是技术难题,CCD测量能够实现在线远程测量,但测量过程中图像将不可避免地产生噪声。图像去噪是图像处理中的一个十分重要的问题,直接关系到最终的结果。该文利用数学形态学滤波原理,提出了一种多结构元素和中值滤波混合的去噪方法。试验表明,此方法对于大型锻件图像的噪声具有很好的滤除效果。Thermal measurement for large-size forging workpiece is a difficult technical problem as yet. CCD-measurement could actualize long-distance online measurement, but image noise can＇t be avoided during the measurement process, so denoising for image is very important to image manipulation and influence the ultimate result. The paper present a denoising method combing multi-structural element with median filter. Experiments confirm it is a good method for CCD-image of large-size forging workpiece.

关 键 词：大型锻件 CCD 图像去噪 数学形态学 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]