Hierarchical vectorization of electrical drawings in document images by connectivity analysis of symbols and super-components
- Authors: De P.1, Mandal S.2, Bhowmick P.1
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Affiliations:
- Department of Computer Science and Engineering
- Department of Computer Science and Technology
- Issue: Vol 27, No 2 (2017)
- Pages: 309-325
- Section: Applied Problems
- URL: https://journals.rcsi.science/1054-6618/article/view/195076
- DOI: https://doi.org/10.1134/S1054661817020079
- ID: 195076
Cite item
Abstract
A novel integrated technique is proposed for hierarchical vectorization of electrical drawings in document images. Its first step includes recognition of different electrical symbols and their interconnections based on morphological operations and geometric analysis in three well-distinguished subspaces. This is followed by a hierarchical analysis for detecting the (series-or parallel-connected) super-components in an iterative manner. Finally a compact collection of circuit adjacency lists is produced, which are reduced further by binary encoding. Reconstruction algorithm has also been explained to merit the overall efficacy of the vectorization. Experimental results have been furnished to demonstrate its efficiency and robustness.
About the authors
Paramita De
Department of Computer Science and Engineering
Author for correspondence.
Email: paramitade13@gmail.com
India, Howrah, West Bengal
Sekhar Mandal
Department of Computer Science and Technology
Email: paramitade13@gmail.com
India, Shibpur, West Bengal
Partha Bhowmick
Department of Computer Science and Engineering
Email: paramitade13@gmail.com
India, Kharagpur, West Bengal
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