[1]黄超.采用图像增强的图像特征点匹配算法[J].华侨大学学报(自然科学版),2015,36(5):527-531.[doi:10.11830/ISSN.1000-5013.2015.05.0527]
 HUANG Chao.Image Feature Point Matching Algorithm Research Using Image Enhancement[J].Journal of Huaqiao University(Natural Science),2015,36(5):527-531.[doi:10.11830/ISSN.1000-5013.2015.05.0527]
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采用图像增强的图像特征点匹配算法()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第36卷
期数:
2015年第5期
页码:
527-531
栏目:
出版日期:
2015-09-20

文章信息/Info

Title:
Image Feature Point Matching Algorithm Research Using Image Enhancement
文章编号:
1000-5013(2015)05-0527-05
作者:
黄超
枣庄学院 信息科学与工程学院, 山东 枣庄 277160
Author(s):
HUANG Chao
College of Information Science and Engineering, Zaozhuang University, Zaozhuang 277160, China
关键词:
图像增强 预处理 特征提取 特征匹配 匹配算法
Keywords:
image enhancement preprocessing feature extraction feature matching matching algorithm
分类号:
TP391
DOI:
10.11830/ISSN.1000-5013.2015.05.0527
文献标志码:
A
摘要:
首先,利用直方图均衡化、基于照明-反射模型的同态滤波和基于Retinex理论的3种图像增强方法,对收集到的图像进行预处理;然后,对预处理后的图像应用SIFT,SURF和ASIFT算法进行图像特征提取和匹配.研究结果表明:经直方图均衡化处理的图像,用SURF提取的图像特征点匹配率较高;同态滤波预处理图像的方法,经SIFT算法提取图像特征点的匹配率较高.
Abstract:
Firstly, use the histogram equalization, the homomorphic filter based on light and reflection model, and the image enhancement method based on the Retinex theory are applied respectively to preprocess the collected images; and then three algorithms of SIFT, SURF and ASIFT are used for the preprocessing images to extract and match the image feature. Research results show that: by the image histogram equalization processing, the feature points matching rate of SURF was used to extract images is higher; Homomorphic filtering image preprocessing method, by the SIFT algorithm to extract image feature points matching rate is also higher.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2015-08-12
通信作者: 黄超(1967-),男,讲师,博士,主要从事算法分析与设计、图像处理的研究.E-mail:hch1618@126.com.
基金项目: 国家社科基金重大项目(12&ZD003)
更新日期/Last Update: 2015-09-20