基于颜色空间统计分析原理的金属盐雾腐蚀特征识别

采用图像处理技术对加速腐蚀试验得到的高强度合金钢盐雾腐蚀样件分析,提出了一种基于多色彩空间的特征分析方法。该方法通过对腐蚀图像的RGB,HSV,YCb Cr等多个色彩空间的各个色彩通道的信息进行统计分析,得到每个腐蚀图像的主要统计特征参数的分布规律,根据分布规律找出适合腐蚀特征提取的相关色彩通道。结合腐蚀产生的机理,对相关色彩通道的信息进行处理,进而将具有强烈色彩变化的金属材料盐雾腐蚀特征识别出来。通过对多幅合金钢表面盐雾腐蚀样件的彩色图像进行处理,结果表明利用本文提出的方法进行腐蚀特征识别所得到的腐蚀特征,相比目视效果更准确,腐蚀程度可量化,大大提高了腐蚀判别的准确性。

Feature Recognition of Metallic Salt Spray Corrosion Based on Color Spaces Statistics Analysis

Digital image processing technique is used to analyze the high strength alloy steel corrosion samples acquired from accelerated salt spray corrosion test. A method of analyzing the corrosion feature based on various color spaces is provided. The proper color component is selected to extract the corrosion feature by analyzing various color spaces of corrosion images such as RGB, HSV, YCbCr and their statistics information. Combined with the theory of corrosion generation, the data of color channels are processed and the feature of metal material salt spray corrosion is recognized. Through processing several sample color images of alloy steel, it is proved that the feature extracted by this procedure has better accuracy and the corrosion degree is quantifiable and the precision of discriminating the corrosion is improved.