As our ability to generate a plethora of image data increases it becomes important to develop tools that are capable of searching image databases for similarities. This requires the extraction of content or shape information rather than relying on algorithms that perform pixel matching. In order to accomplish this task this study converts images into signatures which are short vectors that are descriptive of the shapes contained within the image. Similarity measures of these vectors indicate the similarity of shapes contained within the two images. In this study an ontology of more than 1000 image signatures was constructed and the search results are presented.
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