文章摘要
郭健,秦进.余弦约束法则耦合改进RANSAC策略的图像匹配算法[J].包装工程,2017,38(15):213-218.
GUO Jian,QIN jin.Image Matching Algorithm of RANSAC Strategy Improved Based on Coupling of Cosine Constraint Rule[J].Packaging Engineering,2017,38(15):213-218.
余弦约束法则耦合改进RANSAC策略的图像匹配算法
Image Matching Algorithm of RANSAC Strategy Improved Based on Coupling of Cosine Constraint Rule
投稿时间:2017-01-11  修订日期:2017-08-10
DOI:
中文关键词: 图像匹配  Forstner算子  Haar小波  余弦约束法则  投票机制  RANSAC
英文关键词: image matching  Forstner operator  Haar wavelet  cosine constraint rule  RANSAC
基金项目:国家自然科学基金(61562009);福建省教育厅科学技术研究项目(JA13407)
作者单位
郭健 厦门海洋职业技术学院厦门 361012 
秦进 贵州大学贵阳 550025 
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中文摘要:
      目的 提高当前图像匹配算法的匹配精度与鲁棒性。方法 引入Forstner算子,精确提取图像特征点;采用一阶Haar小波来生成特征点主方向,并通过求取 小波响应来生成特征描述子;利用特征向量构建余弦约束模型,联合特征向量的距离度量方法构成双重匹配约束,从而完成特征点之间的匹配;引入投票机制对RANSAC方法进行改进,制定多重筛选方法对伪匹配点进行剔除,完成图像匹配。结果 与目前图像匹配方法相比,文中提出的算法具有更强的鲁棒性与匹配精度,在特征总数为200个时,所提算法的匹配正确数量达到196个。结论 所提匹配技术具有较好的匹配正确率,对包装印刷产品的识别以及信息安全检测等领域具有较好的应用价值。
英文摘要:
      The work aims to improve the matching accuracy and robustness of the current image matching algorithms. Forstner operator was introduced to accurately extract the feature points of the image. Then, the first-order Haar wavelet was adopted to generate the principal direction of the feature points, and the feature descriptors were generated by obtaining Haar wavelet response. The cosine constraint model was established by means of feature vectors, and the double matching constraint was constructed by combining the distance measurement method of feature vectors, thus completing the matching between feature points. The voting mechanism was introduced to improve RANSAC method. The multiple screening methods were made to remove the false matching points and complete image matching. Compared to the current image matching methods, the proposed algorithm had stronger robustness and matching accuracy. When the total number of features was 200, the correct matching number obtained based on the proposed algorithm was up to 196. In conclusion, the proposed matching technology has better matching accuracy, and has a good application value in the field of identification of package printing products and information security detection.
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