With the growth of Internet and storage capability in recent years

image has become a widespread information format in World Wide Web.However

it has become increasingly difficult to search for images of interest

So effective image search engine for the WWW needs to be developed.Image classification is an important module in image search engine.In this paper a novel approach for image classification based on feature element is proposed.Compared with feature vectors

feature elements can capture visual meanings of the image according to subjective perception of human beings.By using feature element

our approach for image classification is totally different with traditional image classification method.It does not calculate the distance between two vectors in the feature space

while trying to find associations between feature element and class attribute of the image.After the implementation

we have compared it with NFL ― a traditional image classification algorithm based on feature vector.Some improved results are presented.