Abstract
“Lu-Tsao-Ju-Yin” is a Chinese idiom describing a pleasant scene with uniformly soft and green pastures. We address the issue of identifying whether a given image can be described as “Lu-Tsao-Ju-Yin” in this paper. We have developed an algorithm to perform the task including transforming the image into an efficient feature space. The complete procedures will be described in the paper. At first we transfer the R.G.B model of a color image to the H.I.S model and take out the H matrix. Then we set the H range of the grassland. This way makes the program to find the sample which is fit in with the character of the grassland. Second we use the sub sampling method to reduce the H matrix. With this reduced matrix, we use the complete judgment to decide the bound of the grassland. Third we estimate the area of the grassland and see if the grassland area rate is answer to the percentage we choose. Finally we can judge an image if it is “Lu-Tsao-Ju-Yin”. The grassland bound is very accurate. So the experiment results on images are good and the the identification speed is not too slow.This algorithm can learn the feeling of the human eyes on seeing wide and uniform grassland. The technique can be found useful in applications such as sight-seeing and education. For example, we can choose the place which is with grassland without using our eyes. The search engine to images can also be improved.