Simultaneous surface texture classification and illumination tilt angle prediction
نویسندگان
چکیده
In this paper we investigate the effect of the illuminant tilt rotation over surface textures by analysing a set of image texture features extracted from the co-occurrence matrix. From the behaviour of each texture feature, a simple method able to predict the illuminant tilt angle of test images is developed. Moreover, the method is also used to perform a texture classification invariant to the illuminant tilt angle rotation. This study and experimental results over different real textures show that the illumination tilt angle can be accurately predicted, as part of the texture classification process.
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