一种改进的梯度算法在高炉泡沫渣边缘检测中的应用  

Application of a Modified Gradient Algorithm in the Edge Detection of Blast Furnace Foamed Dreg

作　　者：李会举[1] 邓淑贤[1] 佟仕忠[1] 程兰[1] 

机构地区：[1]辽宁石油化工大学信息与控制工程学院,辽宁抚顺113001

出　　处：《铸造技术》2007年第11期1510-1513,共4页Foundry Technology

摘　　要：提出了一种改进的梯度边缘检测算法。该算法对目标与背景灰度值不同差值的泡沫渣图像均能容易而准确地进行边界提取,通过与传统的边缘检测算法的实验结果比较表明,利用该梯度算子提取泡沫渣边缘具有更好的抗干扰性和适应性,对在工业现场实现计算机自动检测泡沫渣高度具有指导意义。A modified algorithm of edge detection based on gradient extreme value was proposed. The edge of the foam image with any different gray levels can be detected by the algorithm easily and accurately. Compared with experimental results from the original edge examination algorithm, the results show that the edge extracted by the gradient algorithm has better immunity and adaptability. The research has a significance for detecting foamed slag height automatically by computer in the industry field.

关 键 词：高炉泡沫渣 边界 梯度算法 自动检测 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]