基于分数阶微分和SIFT算法的图像匹配方法研究

孙奇; 刘海燕

doi:doi:10.16818/j.issn1001-5868.2016.06.028

半导体光电, 2016, 37 (6): 890, 网络出版: 2016-12-30

基于分数阶微分和SIFT算法的图像匹配方法研究

Research on Image Matching Method Based on Fractional Order Differential and SIFT Algorithm

论文大纲

孙奇刘海燕 ^*

作者单位

北京信息职业技术学院计算机与通信工程学院, 北京 100018

分数阶微分关键点图像匹配 fractional order differentiation SIFT SIFT key points image matching

摘要

提出了一种采用分数阶微分与尺度不变特征变换算法(SIFT)相结合的方式进行图像识别及匹配方法。该方法首先采用分数阶微分方法对图像的细节纹理部分进行加强, 从而提高图像的分辨率, 然后采用尺度不变特征变换算法对旋转缩放后的图像进行特征关键点提取和匹配, 从而提高图像识别的准确率。应用该方法对Lena图像进行图像处理实验, 结果表明: 采用阶次为0.6的分数阶微分算法与SIFT相结合可最大化地提取图像的关键点和提高图像匹配的准确率(94.59%)。

Abstract

In this paper, a novel method of image recognition and matching based on fractional order differential and scale invariant feature transform (SIFT) was proposed. In this method, the details of the image were improved by using the fractional order differential method firstly, then the SIFT algorithm was used to extract and match the feature points of the image, and under the above method, the accuracy of image recognition was improved. An experimental study on Lena image was carried out in this paper, the experimental results show that the accuracy of image matching can be improved to 94.59% with the proposed method based on fractional order(0.6) differential and SIFT algorithm.

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孙奇, 刘海燕. 基于分数阶微分和SIFT算法的图像匹配方法研究[J]. 半导体光电, 2016, 37(6): 890. SUN Qi, LIU Haiyan. Research on Image Matching Method Based on Fractional Order Differential and SIFT Algorithm[J]. Semiconductor Optoelectronics, 2016, 37(6): 890.

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