关键词: 频率谱, 离散傅里叶变换, 纹理分析, 瓷砖分类, 最小距离分类

Abstract: In existing methods of ceramic tile online classification and detection, some kinds of texture are hard to quantify and it is also difficult to classify by color or gray scale. To solve the problem, first of all, the method based on Gaussian filter has been used to enhance texture and remove low-amplitude noise. And then, it is able to extract and process the features in frequency domain by the discrete fourier transform. Moreover, by removing the DC component and high-frequency components, texture has been highlighted and corresponding noise has been restrained. At last, it adopts minimum distance classification rules to compare every image with default template library. The result of experiments shows that it is very useful to distinguish various classification and robust in the same.

Key words: frequency spectrum, discrete Fourier transform, texture analysis, ceramic tile classification, minimum distance classification