Relevance feedback in image retrieval system by region growing in the feature space

We propose a relevance feedback algorithm based on region growing in the feature space, where most conventional algorithms are based on weight updating. By adaptively expanding match regions based on the user´s feedback, the region can have arbitrary shape in the feature space, whereas the weight update methods have typical hyper-ellipsoidal shape. As a result, the proposed algorithm shows matching results with higher precision