A New Quadtree-Based Symmetry Transform (QST) With Application to Arab-andalusian images Indexing
نویسندگان
چکیده
This paper describes a new method for the Arab-andalusian images features extraction for indexing. Our original approach is based on the extraction of symmetry information using a quadtree-based symmetry Transform (QST). Our method is inspired by the way that the artits (Maalam) draw the shapes of the patterns. We build a quadtree on the image center then we give a measure of symmetry, a feature vector is constructed and a similarity measure is given to compare two images. We have evaluated the algorithm on our Arab-andalusian database and found that the algorithm is able to discriminate small variations of symmetry. The obtained results significantly support the capabilities of our proposed approach to classify and recognize arab-andalusian images in terms of symmetry information.
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