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12

ICDAR
2009
IEEE

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Raster Map Image Analysis

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Raster Map Image Analysis

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Raster map images (e.g., USGS) provide much information in digital form; however, the color assignments and pixel labels leave many serious ambiguities. A color histogram classiﬁcation scheme is described, followed by the application of a tensor voting method to classify linear features in the map as well as intersections in linear feature networks. The major result is an excellent segmentation of roads, and road intersections are detected with about 93% recall and 66 % precision.

Thomas C. Henderson, Trevor Linton

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Color Histogram Classiﬁcation | Document Analysis | ICDAR 2009 | Linear Feature | Raster Map Images |

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Added	21 May 2010
Updated	21 May 2010
Type	Conference
Year	2009
Where	ICDAR
Authors	Thomas C. Henderson, Trevor Linton

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