Elsevier

Pattern Recognition

Volume 27, Issue 2, February 1994, Pages 261-275
Pattern Recognition

Skeleton generation of engineering drawings via contour matching

https://doi.org/10.1016/0031-3203(94)90058-2Get rights and content

Abstract

A new approach for the skeletonization of engineering drawings is proposed. The underlying idea of the proposed approach is totally different from that of the traditional thinning approach. A contour vectorization process is first applied to the contour image of an engineering drawing followed by a contour skeletonization process to obtain the skeleton of the engineering drawing. The resultant description of the drawing is stored in the form of vector instead of raster image. The experimental results show that the speed and storage demand of the proposed approach are much faster and smaller than those of the traditional thinning approach. Besides, the approach does not have the spurious effects bothering most of the thinning algorithms.

References (18)

There are more references available in the full text version of this article.

Cited by (37)

  • Automatic derivation of qualitative plant simulation models from legacy piping and instrumentation diagrams

    2016, Computers and Chemical Engineering
    Citation Excerpt :

    Wenyin and Dori (1998) presented a generic method for the recognition of both text and basic parametrical forms. Several authors addressed the recognition of text from drawings (Lu, 1998), most of them applied this procedure as a preliminary step for graphics vectorization (Han and Fan, 1994; Song et al., 2000). Other works have focused on the analysis of symbols, yielding thereby significant contributions to the field of Optical Symbol Recognition (OSR).

  • A Hough transform based line recognition method utilizing both parameter space and image space

    2005, Pattern Recognition
    Citation Excerpt :

    One may think that it is not necessary to apply HT-based methods to engineering drawings since there are already many graphics recognition methods in this domain. In fact, according to our study, the popular graphics recognition methods for engineering drawings, including skeletonization-based methods [17,18], contour-based methods [19] and pixel-tracking methods [20,21], mainly depend on the pixel-level connectivity of graphic elements. As a result, they handle good quality images well, but their performance drops significantly when the image quality is too poor to keep the connectivity.

  • A survey of shape analysis techniques

    1998, Pattern Recognition
View all citing articles on Scopus
View full text