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In this paper, a methodology to extract the constituent parts from a noisy line drawing is presented. The image is decomposed into primitives and a heuristic search is performed to identify meaningful aggregates of primitives. Separation of overlapping entities and robustness against noise were the principal objectives of the project while object-oriented programming allowed to design a system very flexible to change and additions. Results of experimentation on different types of objects are reported.

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