5.The experimental results indicate that this model and algorithm are efficient in characterizing imagefeature and can provide (satisfac-)(tory) image retrieval performance.
6.This paper introduces the Content Based Image Retrieval Technique (CBIR). CBI R System builds imagefeature vector and expresses image semantic information us ing the low-level image features such as color, texture, shape, figure, spatial relationships, time relationships etc.
7.Physics conceptions are introduced into image matching and definitions to the Mess,Density,Gravity Center and the Physical Feature Vector(PFV)of image are given in the paper. And a new matching algorithm based on image physical feature is proposed.