Abstract
An important area in low level image processing is the problem of accurately detecting edges. These edges can then be used as the basis for further algorithmic analysis, such as counting the number of objects in a scene or matching images for example. In this paper a novel technique is presented for edge detection and parameterization based on least squares fitting of an edge model to the data. As well as results in edge detection, images restored using the gained parameterizations are shown.
| Original language | English |
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| Pages (from-to) | 202-205 |
| Number of pages | 4 |
| Journal | IEE Conference Publication |
| Issue number | 465 I |
| Publication status | Published - 1999 |
| Event | Proceedings of the 1999 7th International Conference on Image Processing and its Applications - Manchester, UK Duration: 13 Jul 1999 → 15 Jul 1999 |