结合定向梯度直方图和分层质心的素描图像检索

2015 Second International Conference on Computer Science, Computer Engineering, and Social Media (CSCESM) Pub Date : 2015-11-19 DOI:10.1109/CSCESM.2015.7331884

Norah M. Asiri, Nourah AlHumaidi, Nourah AlOsaim

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引用次数: 4

摘要

基于草图的图像检索(SBIR)系统仍然很少争论和争论。直方图定向梯度(HOG)在基于草图的检索系统中表现出较好的性能。本文提出了将HOG与不规则形状的分层质心相结合来增强HOG的方法。我们还将结果与原始HOG、边缘直方图和形状属性描述符进行了比较。该系统使用手绘草图作为输入，并将其与来自12个不同类别的图像进行匹配。

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Combination of histogram of oriented gradients and hierarchical centroid for sketch-based image retrieval

The sketch based image retrieval (SBIR) systems is still little argued and debated. Histogram of oriented gradients (HOG) has shown good performance in sketch based retrieval systems over all other methods. In this paper, we propose an enhancement of HOG by using HOG combined with hierarchical centroid of irregular shape. We also compare the result with original HOG, edge histogram and the shape properties descriptors. The system uses free-hand sketched queries as input and matches it with images from different 12 classes.

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来源期刊

2015 Second International Conference on Computer Science, Computer Engineering, and Social Media (CSCESM)

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