| 基于SIFT的电力设备红外/可见光图像配准方法 |
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| 引用本文： | 田阿灵,赵振兵,高强. 基于SIFT的电力设备红外/可见光图像配准方法[J]. 电力科学与工程, 2008, 24(2): 13-15 |
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| 作者姓名： | 田阿灵 赵振兵 高强 |
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| 作者单位： | 华北电力大学,电气与电子工程学院,河北,保定,071003;华北电力大学,电气与电子工程学院,河北,保定,071003;华北电力大学,电气与电子工程学院,河北,保定,071003 |
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| 摘 要： | 提出了一种红外与可见光图像的配准方法,该方法将SIFT(Scale Invariant Feature Transform)特征应用于两者自动配准的特征匹配,SIFT特征对旋转、尺度缩放、亮度变化保持不变性,对视角变化、仿射变换、噪声也保持一定程度的稳定性。实验表明,该方法具有稳定、可靠、快速等特点。
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| 关 键 词： | 图像配准 红外图像 可见光图像 SIFT 电力设备在线监测 |
| 修稿时间： | 2007-10-21 |
Electrical Equipment IR and Visible Images Registration Method Based on SIFT |
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| Tian Aling,Zhao Zhenbing,Gao Qiang. Electrical Equipment IR and Visible Images Registration Method Based on SIFT[J]. Power Science and Engineering, 2008, 24(2): 13-15 |
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| Authors: | Tian Aling Zhao Zhenbing Gao Qiang |
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| Abstract: | An automatic IR and visual image registration method was presented in this paper and SIFT feature was introduced into IR and visible images registration.Not only SIFT features are invariant to image scale,rotation and brightness,but also has substantial range of affine distortion,change in 3D view point and addition of noise.Test results showed that the approach mentioned in this paper was stable,reliable and efficient. |
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| Keywords: | image registration IR image visible image SIFT(Scale Invariant Feature Transform) electrical equipment online supervision |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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