一种基于改进SIFT的图像检索算法
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北京工业大学电子信息与控制工程学院 北京 100124

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TP391TN911

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Image retrieval algorithm based on improved SIFT
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College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100124, China

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    摘要:

    为了实现高准确率要求的数字出版物中引用图片的侵权审查,提出了一种基于改进SIFT算法的图像检索算法。该改进算法首创性地提出了在特征提取过程中加入图像SIFT特征点的邻域颜色特征,并设计了双匹配的特征点匹配策略,增强了特征点匹配的可靠性,提升了图像检索的性能。该改进算法被分为3个步骤来实现:基于灰度和HSV彩色空间的双尺度空间的生成,结合传统SIFT特征点描述子和特征点颜色特征向量的新特征点描述子的生成,特征点搜索与双匹配。实验结果表明,与原始的SIFT算法相比,本文改进算法的检索精度更高,并且检索速度没有明显下降。

    Abstract:

    To achieve highly accurate infringement retrieval for reference images in digital publications, an improved SIFT (scale invariant feature transformation) algorithm for image retrieval has been proposed in this paper. To increase the reliability of featurepoints matching and image retrieval, the neighborhood color features of SIFT featurepoints are innovatively added to the image feature extraction process and a doublematching process is designed in our paper. In this paper, our improved algorithm is divided into three steps to describe: double scale space generation based on grayscale space and HSV color space respectively, new feature descriptors generation by combing traditional descriptors of featurepoints and color feature vectors around feature points, featurepoints searching and double matching. Experimental results show that, compared with the original SIFT algorithm, our improved algorithm has higher retrieval accuracy, and at the same time, the retrieval speed is not significantly decreased.

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孙光民,王晨阳.一种基于改进SIFT的图像检索算法[J].国外电子测量技术,2016,35(8):32-37

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  • 在线发布日期: 2016-10-09
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