基于SIFT算法的商标图像检索系统

2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI:10.1109/ICIS.2018.8466451

Zhengkang Chen, Xiaohong Wang

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引用次数: 1

摘要

本文介绍了视点包模型和sift算法用于图像检索的理论，并尝试利用该模型和算法实现商标图像的匹配。利用最大不相似系数进行矢量比较，提高了精度。基于该图像匹配算法，构建了商标图像检索系统。该系统将图库中的图片与相应的商标进行匹配，在一定程度上帮助人们获取商标信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Trademark Image Retrieval System Based on SIFT Algorithm

In this paper, the theory of bag of view words model and sift algorithm is introduced for image retrieval, Try to use this model and algorithm to achieve trademark image matching. and the most dissimilarity coefficient is used for vector comparison to improve the accuracy. Based on this image matching algorithm, an image retrieval system is constructed for trademark image. The system matches the pictures with the corresponding trademark from the gallery, Help people get trademark information to a certain extent.

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2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)

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