论文:2015,Vol:33,Issue(6):962-965
引用本文:
黄登山, 王晓楠. 基于Canny和Hillbert-Huang变换的改进的SIFT算法研究[J]. 西北工业大学学报
Huang Dengshan, Wang Xiaonan. An Improved SIFT Algorithm Based on Canny Operator and Hillbert - Huang Transform[J]. Northwestern polytechnical university

基于Canny和Hillbert-Huang变换的改进的SIFT算法研究
黄登山, 王晓楠
西北工业大学 电子信息学院, 陕西 西安 710072
摘要:
在传统的SIFT算法之上,结合Canny和Hillbert-Huang变换,提出一种改进的SIFT算法。Canny算子可以有效地避免边缘响应,但是出现平滑过度和边缘移位。利用Hillbert-Huang变换增强图像轮廓。然后提出一种基于Canny算子和Hillbert-Huang变换的改进算法。与原算法所提取的特征点进行比较,可以发现改进的算法获得的特征点更加精确,消除了一些错误特征点,精确率提高,而且提高了抗噪声性能。
关键词:    改进的SIFT算法    Canny算子    Hillbert-Huang变换    边缘检测   
An Improved SIFT Algorithm Based on Canny Operator and Hillbert - Huang Transform
Huang Dengshan, Wang Xiaonan
Department of Electronics Engineering, Northwestern Polytechnical University, Xi'an 710072, China
Abstract:
An improved SIFT algorithm, based on Canny operator and Hillbert - Huang transform is put forward. Canny operator can effectively avoid the edge response but there will be a smooth transition and shift of the edge. We utilize Hillbert-Huang transform to enhance image contour. Then we propose an improved SIFT algorithm based on Canny operator and Hillbert-Huang transform. We compare the feature points extracted with original SIFT algorithm.; the feature points with the improved SIFT algorithm, are smaller in number than those extracted with the original SIFT algorithm,eliminating unsatisfactory feature points and this giving better accuracy rates in Fig.l:19.7% in the first case,18.06% in the second case, and 19.43% in the third case.
Key words:    Canny operator    Hillbert-Huang transform    improved SIFT(Scale Invariant Feature Transform)algorithm   
收稿日期: 2015-03-12     修回日期:
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作者简介: 黄登山(1962—),西北工业大学教授,主要从事雷达信号检测及通信信号处理研究。
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