| 直方图均衡化与SURF重构的图像特征提取方法 |
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| 引用本文： | 杨帆,邓振生. 直方图均衡化与SURF重构的图像特征提取方法[J]. 计算机工程与应用, 2013, 49(10): 188-190 |
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| 作者姓名： | 杨帆 邓振生 |
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| 作者单位： | 中南大学 有色金属成矿预测教育部重点实验室，地球科学与信息物理学院，长沙 410083 |
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| 摘 要： | 针对SURF算法提取图像特征点较少的问题，提出了一种经直方图均衡化处理，重构SURF尺度空间（R-SURF）的图像特征提取方法。该方法能提高图像特征点检测数目，同时保持较高的匹配率，并且继承SURF算法的良好特性。将算法与SURF和C-SURF算法进行比较实验，结果表明R-SURF具有更好的特征检测能力。
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| 关 键 词： | 加速稳健特征（SURF）重构 特征提取 直方图均衡化 |
Image characteristics extraction algorithm based on histogram equalization and SURF recon-struction |
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| YANG Fan,DENG Zhensheng. Image characteristics extraction algorithm based on histogram equalization and SURF recon-struction[J]. Computer Engineering and Applications, 2013, 49(10): 188-190 |
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| Authors: | YANG Fan DENG Zhensheng |
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| Affiliation: | Key Laboratory of Metallogenic Prediction of Nonferrous Metals, Ministry of Education, School of Geosciences and Info-Physics, Central South University, Changsha 410083, China |
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| Abstract: | In order to solve the problem of less features extraction of SURF, an image characteristics extraction algorithm, R-SURF, which is based on histogram equalization and SURF reconstruction is proposed in this paper. This algorithm can extract more features while maintaining good repeatability, and keeping the robust of SURF. Experimental results show that R-SURF has a better performance than that of SURF and C-SURF. |
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| Keywords: | Speeded Up Robust Feature(SURF)reconstruction feature extraction histogram equalization |
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