JOURNAL ARTICLE

Semi-automatic extraction and vectorisation of multicoloured cartographic objects

Abstract

We describe a semi-automatic cartographic image interpretation system in which techniques previously applied to monochrome images are generalised to colour and extended to support digitization of the full range of multi-coloured cartographic objects. A snapping tool eases the selection of seed points, speeding interpretation. Line and area objects are identified automatically and a suitable target representation (skeleton or contour) produced for each. This simplifies interaction as the user does not have to vary his/her behaviour with object type. Multi-coloured objects can be constructed from their components with ease and correction tools such as snapping and undo both save time and decrease error rates.

Keywords:
Computer science Extraction (chemistry) Artificial intelligence Natural language processing

Metrics

2
Cited By
0.28
FWCI (Field Weighted Citation Impact)
14
Refs
0.63
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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