基于自适应背景预测的镁熔液第一气泡检测算法  

Detection Method to the First Bubble Based on Self-Adaptive Background Forecast in Magnesium Alloy Melt

作　　者：刘腾飞[1] 许四祥[1] 冯在东[1] 孙杰[1] 

机构地区：[1]安徽工业大学机械工程学院

出　　处：《特种铸造及有色合金》2012年第1期89-92,共4页Special Casting & Nonferrous Alloys

基　　金：国家自然科学基金资助项目(51044001);安徽省自然科学基金资助项目(11040606M104)

摘　　要：针对复杂背景下镁熔液第一气泡的图像识别,提出了一种基于自适应的背景预测算法。算法通过判断当前像素点邻域的像素点灰度之差是否大于预先设定的阀值T而自适应的选用不同的背景预测算法。若大于阀值T,采用分块权值背景预测算法;否则,采用固定权值背景预测算法。还将该算法与固定权值背景预测算法和分块权值背景预测算法作了对比试验,结果表明,该算法不但能够较准确地反映第一气泡的真实大小,还能有效地提高图像的峰值信噪比,其运算速度也更快。A self-adaptive background forecast algorithm was presented aiming at image identification under complex background in magnesium alloy melt.Through judging whether the gray difference of the current pels＇s neighbor pels is more than the threshold valve preset,different background forecast algorithms were self-adaptively selected.If the gray difference is more than threshold value,blocking weight background forecast algorithm is adopted,while it is less than the threshold value,fixed weight background forecast algorithm is selected.Furthermore,the self-adaptive background forecast algorithm was compared with the fixed weight background forecast algorithm and blocking weight background forecast algorithm.The results show that the algorithm not only can reflect the real size of the first bubble better,but also can effectively improve the PNSR（peak signal and noise ratio） and calculating speed.

关 键 词：镁熔液 第一气泡 自适应背景预测 自适应阀值 数学形态学 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]