Paper Info
Title
An object-oriented progressive-simplification-based vectorization system for engineering drawings: model, algorithm, and performance
Abstract
Existing 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 aground 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.
Year
DOI
Venue
2002
10.1109/TPAMI.2002.1023802
IEEE Trans. Pattern Anal. Mach. Intell.
Keywords
Field
DocType
two-phase workflow,engineering drawings,ground truth graphic object,object-oriented progressive-simplification-based vectorization system,graphic object recognition,engineering computing,vectorization system,vectorization,recognition quality,raster image,raw vectors,raster image conversion,raw vector search,vectorization model,subsequent recognition,graphic object,raw vector merger,raw vector,graphic object erasing,recognition rate,document image processing,engineering drawing,object-oriented methods,merging,object oriented,image recognition,indexing terms,quantitative analysis,raster to vector,degradation,graphics,ground truth
Engineering drawing,Raster graphics,Computer graphics (images),Computer science,Vectorization (mathematics),Image tracing,Artificial intelligence,Merge (version control),Workflow,Computer vision,Object-oriented programming,Ground truth,Pixel
Journal
Volume
Issue
ISSN
24
8
0162-8828
Citations 
PageRank 
References 
42
1.71
23
Authors
4
Name
Order
Citations
PageRank
Jiqiang Song137320.18
Feng Su217018.63
Chiew-Lan Tai3164077.68
Shijie Cai421817.02