| Abstract: | Traditional edge detection systems function by returning every edge in an input image. This can result in a large amount of clutter and make certain vectorization algorithms less accurate. Accuracy problems can then have a large impact on automated object recognition systems that depend on edge information. A new method of directed edge detection can be used to limit the number of edges returned based on a particular feature. This results in a cleaner image that is easier for vectorization. Vectorized edges from this process could then feed an object recognition system where the edge data would also contain information as to what type of feature it bordered. |
| Genre: | USGS Numbered Series |
| ProdID: | 77004 |
| Citation Author: | Maddox, Brian G.; Rhew, Benjamin |
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| Citation Language: | ENGLISH |
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| Citation Number Of Pages: | 17 |
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| Citation Phsyical Description: | 17 p. |
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| Citation Series: | Open-File Report |
| Citation Series Code: | OFR |
| Citation Series Number: | 2004-1325 |
| Citation Search Results Text: | A new method of edge detection for object recognition; 2004; OFR; 2004-1325; Maddox, Brian G.; Rhew, Benjamin |
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| Citation Year: | 2004 |
| Type: | citation/reference |
| Text: | A new method of edge detection for object recognition; 2004; OFR; 2004-1325; Maddox, Brian G.; Rhew, Benjamin |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/usgs_thumb.jpg |
| URL (INDEX PAGE): | http://pubs.usgs.gov/of/2004/1325/ |
| Date Other: | Thu, 6 Jul 2006 00:00 -0500 |
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