Detection of electrical circuit elements from documents images

Paramita De; Sekhar Mandal; Amit Das; Bhabatosh Chanda

doi:10.1117/12.2078211

8 February 2015 Detection of electrical circuit elements from documents images

Paramita De, Sekhar Mandal, Amit Das, Bhabatosh Chanda

Proceedings Volume 9402, Document Recognition and Retrieval XXII; 94020O (2015) https://doi.org/10.1117/12.2078211
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

In this paper a method to detect the electrical circuit elements from the scanned images of electrical drawings is proposed. The method, based on histogram analysis and mathematical morphology, detects the circuit elements, for example, circuit components, wires, and generates a connectivity matrix which may be used to find similar, but spatially different looking circuit using graph isomorphism. The work may also be used for vectorization of the circuit drawings utilising the information on the segmented circuit elements and corresponding connectivity matrix. The novelty of the method lies in its simplicity and adaptability to work with a tolerable skewed image and the capability to segment symbols irrespective of their orientation. The proposed method is tested over a data-set containing more than one hundred scanned images of a variety of electrical drawings. Some of the results are presented in this paper to show the efficacy and robustness of the proposed method.

Citation Download Citation

Paramita De, Sekhar Mandal, Amit Das, and Bhabatosh Chanda "Detection of electrical circuit elements from documents images", Proc. SPIE 9402, Document Recognition and Retrieval XXII, 94020O (8 February 2015); https://doi.org/10.1117/12.2078211

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