Search

To measure the similarity between two images, the local information around all the points were usually used for traditional image retrieval methods based on interest points. The accuracy would be influenced by the dissimilar interest points in the background region or in the uninterested regions. A new image retrieval method based on interest points was proposed in this paper. The most similar interest points were chosen firstly based on feature matching techniques, then the similarity was measured based on the local gray information around the preserved similar interest points. Experiments show that the proposed method is more accurate than traditional image retrieval method based on interest points.

A new method is proposed when optical flow is estimated in a color image sequence. That is the indirect method exploiting Hue and Saturation as color invariance under motion, with differs from the straightforward method of using the color components as separate images ofthe same scene. Also the two color systems HSV and HLS are used for two reasons. Firstly, they have advantage over the traditional method in using the ratio of the color components as separate images of the same scene, so that they can avoid linearly dependent of color components. Secondly, they correspond to human vision since the two color systems have been developed for user and can represent the color characteristics. In order to prove the new method effective, computer simulation experiments were carried out while estimated the optical flow in color synthetic sequences and analysis their performance of two -frame color optical flow both qualitatively and quantitatively. The results showed that the new method yields accurate optical flow field estimation.