A Novel Flame Edge Detection Algorithm via A Novel Active Contour Model
| Autor: | Jianxun Xue, Yunyang Yan, Shangbing Gao, Wanli Feng, Ying Li |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Active contour model
Level set method General Computer Science Computer science Computation Initialization 02 engineering and technology Regularization (mathematics) Edge detection 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Level set 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Algorithm Energy (signal processing) |
| Zdroj: | International Journal of Hybrid Information Technology. 9:275-282 |
| ISSN: | 1738-9968 |
| DOI: | 10.14257/ijhit.2016.9.9.26 |
| Popis: | Flame edge detection from color images is a challenging research area recently. In this paper, an extension of active contour model is proposed by adding the two information types to both internal and external energy terms. Therefore, the combination of these two forces allows for flexible initialization of the contours. This energy is then incorporated into a level set formulation with a level set regularization term that is necessary for accurate computation in the corresponding level set method. Edge extraction of different flame images using C-V model and the classical edge detection operators are compared and analyzed. Experimental results show that the existing methods do not emphasize the continuity and clarity of the flame and fire edges while the proposed method identifies the continuous and clear edges of the flame fire. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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