Method for natural image discrimination based on texture feature
基于纹理特征的自然图像鉴别方法

This paper aimed to establish a model based on texture features of image for discriminating the natural images and artificial images, such as mainly stick figure, form, function image. Firstly, computed two types of image texture features, and counted and analyzed the data. And furthermore, selected the representative texture features, such as smoothness, consistency and image entropy, and established the mathematical models. Finally, composed the differential function by a linear combination of the three features, and used the simulated annealing to determine the value of the weights. The experiment results show that the method can discriminate the two types of images effectively, and has higher degree of accuracy.