中文说明：图像建模在图像处理中起着重要的作用
English Description：
Image modeling plays an important role in modern image processing. It is commonly used in image analysis for texture segmentation, classification and. It is also of common use in multimedia applications for compression purposes. Due to the diversity of image types, it is impossible to have one universal model to cover all the possible types, even when limiting ourselves to simple texture cases. Various models have been proposed and each has its advantages and drawbacks. For textures, co-occurrence matrices are a standard choice but they are in general difficult to compute and are difficult to use for modeling. We will concentrate here on Markov Random Field (MRF) which have been widely and very successfully used in the last 15 years. Markov random fields belong to the statistical models of images. Each pixel of an image can be viewed as a random variable. An image c