一种基于小波理论的铁谱图像反锐化掩模增强法  

An Unsharp Masking Enhancement Method of Ferrographic Image Based on Wavelet Theory

作　　者：陈桂明[1] 江良洲[2] 

机构地区：[1]西安交通大学润滑理论及轴承研究所,陕西西安710049 [2]第二炮兵工程学院装备管理工程系,陕西西安710025

出　　处：《润滑与密封》2006年第3期59-61,共3页Lubrication Engineering

摘　　要：介绍了当前常用的图像增强技术,结合铁谱图像预处理研究了基于小波域的反锐化掩模法在图像增强中的运用,并给出了具体算法。实验结果表明,基于小波分析的图像反锐化掩模增强算法能够在控制噪声的同时有效地突出图像细节,改善图像质量。小波变换使得原始图像中不同分辨率的细节特征随尺度的不同而分离开来,避免了传统算法中通过不断调整滤波器窗口大小来选择增强效果的繁琐工作;运用不同尺度下的小波分量分别进行增强,原始图像中无论较粗还是较细的边缘都能同时得到增强,从而既能有效地检测出边缘又能突出图像的表面纹理细节。A new image enhancement technique was introduced. An unsharp masking method and its arithmetic based on wavelet analysis applied to image preprocessing were presented. The color ferrographic images of wear debris were used as initial data. Experimental results prove that this arithmetic is superior in extruding image details while suppressing noise. Wavelet transform can discern detail characteristics changing with transform scales in source image. Trivial work to alter the filter sizes in traditional methods is avoided. With both wide and thin image fringes enhanced ,this method can detect image fringes and extrude texture details.

关 键 词：铁谱技术 图像增强 小波分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]