Image classification using bootstrap likelihood ratio method

In image classification, we usually use the color histogram to represent the feature of the image. And the color histogram is often described by the mixture Gaussian model. However, the problem in mixture Gaussian models is to determine the proper number of the mixture Gaussian model. To solve this problem, we use the bootstrap likelihood ratio method to overcome this problem. Experimental results show that the proposed method performs well.