Bibliographic Details
| Title: |
Research of SIFT Algorithm Based on Underground Environment |
| Authors: |
LIANG Yu, LI Dan, NIU Cui-xi, ZHANG Guo-yong |
| Source: |
Gong-kuang zidonghua, Vol 37, Iss 2, Pp 55-58 (2011) |
| Publisher Information: |
Editorial Department of Industry and Mine Automation, 2011. |
| Publication Year: |
2011 |
| Collection: |
LCC:Mining engineering. Metallurgy |
| Subject Terms: |
coal mine, image process, feature matching, image stitching, curvelet algorithm, sift, ransac, Mining engineering. Metallurgy, TN1-997 |
| More Details: |
The paper put forward a new feature matching algorithm to solve the problem that existing feature matching methods are not suitable to underground environment. Firstly, the algorithm uses curvelet algorithm to preprocess image noise, then adopts SIFT algorithm to form and match feature vectors, which removes mismatched points effectively by optimization of RANSAC method and achieves image stitching by building projection transformation model. The experiment showed that the algorithm has better robustness in noise, poor illumination and fuzzy environment, and solves mismatching phenomenon in mine environment, whose stitching result is smoothing and natural. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
Chinese |
| ISSN: |
1671-251X |
| Relation: |
http://www.gkzdh.cn/article/id/2450; https://doaj.org/toc/1671-251X |
| Access URL: |
https://doaj.org/article/2075fa3305d64460a69176356bd4f476 |
| Accession Number: |
edsdoj.2075fa3305d64460a69176356bd4f476 |
| Database: |
Directory of Open Access Journals |
