Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a geometry-based image retrieval system is developed for multiobject images.  model both shape and topology of image objects using a structured representation called curvature tree (CT). The hierarchy of the CT reflects the inclusion relationships beten the image objects. To facilitate shape-based matching, triangle-area representation (TAR) of each object is stored at the corresponding node in the CT. The similarity beten two multiobject images is measured based on the maximum similarity subtree isomorphism (MSSI) beten their CTs. For this purpose,  adopt a recursive algorithm to solve the MSSI problem and a very effective dynamic programming algorithm to measure the similarity beten the attributed nodes. Our matching scheme agrees with many recent findings in psychology about the human perception of multiobject images. Experiments on a database of 13,500 real and synthesized medical images and the MPEG-7 CE-1 database of 1,400 shape images have shown the effectiveness of the proposed method.
['Naif Alajlan', 'Mohamed S. Kamel', 'George H. Freeman']
I am writing a research paper on a idea Geometry-Based Image Retrieval in Binary Image Databases
[{"from": "human", "value": "I am writing a research paper on a idea Geometry-Based Image Retrieval in Binary Image Databases"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a geometry-based image retrieval system is developed for multiobject images.  model both shape and topology of image objects using a structured representation called curvature tree (CT). The hierarchy of the CT reflects the inclusion relationships beten the image objects. To facilitate shape-based matching, triangle-area representation (TAR) of each object is stored at the corresponding node in the CT. The similarity beten two multiobject images is measured based on the maximum similarity subtree isomorphism (MSSI) beten their CTs. For this purpose,  adopt a recursive algorithm to solve the MSSI problem and a very effective dynamic programming algorithm to measure the similarity beten the attributed nodes. Our matching scheme agrees with many recent findings in psychology about the human perception of multiobject images. Experiments on a database of 13,500 real and synthesized medical images and the MPEG-7 CE-1 database of 1,400 shape images have shown the effectiveness of the proposed method."}]