Similarity relationships among neighborhood pixels of images were studied and a new concept "neighborhood similar ratio" was put forward. Neighborhood similarity ratio can represent similarity degree of neighborhood color of image. Then an image classification algorithm was proposed in terms of it and simulated in Matlab. The result showed that the image classification method based on neighborhood similarity ratio is fast and efficient with low cost.