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Image Retrieval using Shape Texture Content as Row Mean of Transformed Columns of Morphological Edge Images

The paper discusses novel image retrieval methods based on edge texture of images extracted using morphological edge extraction techniques [21]. Twenty one variations of proposed image retrieval techniques using seven image transforms have been discussed. The proposed image retrieval techniques are tested on generic image database with 1000 images spread across 11 categories. In all 55 queries (5 from each category) are fired on the image database. The average precision and recall of all queries are computed and considered for performance analysis.