Abstract
The contour based technique has been proven to be an effective approach in object recognition. This paper describes an enhanced snakes algorithm (ESA) for contour detection. In ESA, a novel split and merge technique is added to the original snakes model so as to enhance the model to support concave object contour detection. A set of images is selected to evaluate the proposed algorithm and the results are encouraging.
| Original language | English |
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| Pages | 54-59 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 8 Apr 1996 |
| Event | Proceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation - San Antonio, TX, USA Duration: 8 Apr 1996 → 9 Apr 1996 |
Conference
| Conference | Proceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation |
|---|---|
| City | San Antonio, TX, USA |
| Period | 8/04/96 → 9/04/96 |
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