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Sketch-Based Image Matching Using Angular Partitioning, A. Chalechale, G. Naghdy, Alfred Mertins
Sketch-Based Image Matching Using Angular Partitioning, A. Chalechale, G. Naghdy, Alfred Mertins
Associate Professor Golshah Naghdy
This work presents a novel method for image similarity measure, where a hand-drawn rough black and white sketch is compared with an existing data base of full color images (art works and photographs). The proposed system creates ambient intelligence in terms of the evaluation of nonprecise, easy to input sketched information. The system can then provide the user with options of either retrieving similar images in the database or ranking the quality of the sketch against a given standard, i.e., the original image model. Alternatively, the inherent pattern-matching capability of the system can be utilized to allow detection of distortion …