A new method of edge detection for object recognition
Open-File Report
2004-1325
By: Brian G. Maddox and Benjamin Rhew
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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.
| Publication type | Report |
|---|---|
| Publication Subtype | USGS Numbered Series |
| Title | A new method of edge detection for object recognition |
| Series title | Open-File Report |
| Series number | 2004-1325 |
| DOI | 10.3133/ofr20041325 |
| Edition | - |
| Year Published | 2004 |
| Language | ENGLISH |
| Description | 17 p. |
| Google Analytic Metrics | Metrics page |