Abstract: One of the requirements for the fast growing technology of multimedia and Internet is image retrieval. A retrieval scheme needs to be efficient, and effective in finding similar images. This requires a robust retrieval scheme against rotation, reflection, translation, scaling, illumination and noise with low computational cost. In this paper a new scheme which overcomes the problems of previous retrieval systems such as sensitivity to illumination, false edges, translation, rotation, noise is introduced. The computational cost of this method is comparable to the previous methods. In this new scheme the image edges will be extracted first, then the edge angles are quantized. Based on correlation between amplitude and phase of neighboring edges the edge orientation correlogram, which is a 2D matrix, is generated. This matrix is normalized and ordered in such a wy that it becomes invariant to rotation, reflection, scaling and translation. This matrix can be used as a feature vector for describing the image and also as an index in image databases. The experimental result shows this new method is superior to other color-based, color-spatial and shape-based indexing schemes. !21
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