铁谱图像的彩色纹理特征提取与识别

Color Texture Feature Extracting and Recognition of Ferrograph Image

纹理是铁谱图像的特征之一,但大部分的铁谱图像的纹理研究是以灰度图像为基础的,这样就丢失图像的彩色纹理信息。对铁谱图像的彩色纹理特征进行了提取,运用支持向量机的方法,对铁谱图像的磨粒颗粒进行了识别,试验结果表明,所提取的特征值,有利于磨损颗粒纹理的识别。

Texture feature is one of the ferrograph image characteristic. Most texture research is under the base of gray scale image in ferrograph image analysis. This method cause lose the color information of ferrograph image. The color texture feature of ferrograph image was extracted, the support vector machine was applied to identify the wear particle type. Experiment result shows that the extracted texture feature can identify the wear particle texture successfully.