The extraction of line-structured data from engineering drawings

Clement, T. Prabhakar

doi:10.1016/0031-3203(81)90044-3

Cited by 19 publications

(2 citation statements)

References 6 publications

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“…Most existing vectorization methods for engineering drawings are based on supervised skeletonization or other median-axis approaches, all of which convert a raster image into some point-chain representation before recognizing the graphic objects. The former includes the various thinning-based vectorization methods [2], [3], [4], and the latter includes contour-based [5], run-graph-based [6], [7], [8], and pixel-tracking-based methods [9], [10].…”

Section: Background and Related Workmentioning

confidence: 99%

An object-oriented progressive-simplification-based vectorization system for engineering drawings: model, algorithm, and performance

Song

Tai

et al. 2002

IEEE Trans. Pattern Anal. Machine Intell.

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ÐExisting vectorization systems for engineering drawings usually take a two-phase workflow: convert a raster image to raw vectors and recognize graphic objects from the raw vectors. The first phase usually separates a ground truth graphic object that intersects or touches other graphic objects into several parts, thus, the second phase faces the difficulty of searching for and merging raw vectors belonging to the same object. These operations slow down vectorization and degrade the recognition quality. Imitating the way humans read engineering drawings, we propose an efficient one-phase object-oriented vectorization model that recognizes each class of graphic objects from their natural characteristics. Each ground truth graphic object is recognized directly in its entirety at the pixel level. The raster image is progressively simplified by erasing recognized graphic objects to eliminate their interference with subsequent recognition. To evaluate the performance of the proposed model, we present experimental results on real-life drawings and quantitative analysis using third party protocols. The evaluation results show significant improvement in speed and recognition rate.

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Section: Background and Related Workmentioning

confidence: 99%

An object-oriented progressive-simplification-based vectorization system for engineering drawings: model, algorithm, and performance

Song

Tai

et al. 2002

IEEE Trans. Pattern Anal. Machine Intell.

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“…The paper presented by Watson et al (1984) and its improved version by Bixler & Sanford (1985) aim at taking the scanned input and obtaining line information from it. Clement (1982) describes a way of changing the pixel resolution depending on the complexity of the image. His work did not address the problem of dealing with small objects having high information content.…”

Section: Graphics Recognition Systemmentioning

confidence: 99%

Understanding paper documents

Agarwal

1993

Sadhana

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We describe the organization and several components of an automated document processing system that begins with digitized images of documents and produces representations at higher levels. Such representations inlcude: the visual sketch (connected components extracted from the background), physical layout (spatial extents of blocks corresponding to text, graphics), logical layout (grouping of strings into words and phrases), and block primitives (e.g., recognised characters and words in text blocks, recognition of hand-drawn line drawings i.e. schematic electronic circuits). We describe algorithms for deriving several of the representations and describe the interaction of different modules. The methods are illustrated with examples.

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