计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (22): 172-175.
• 图形图像处理 • 上一篇 下一篇
陈 曦,肖 建
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CHEN Xi, XIAO Jian
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摘要: 基于草图的图像检索,存在着大量的应用空间。针对查询草图和数据库图像的差异,提出了一种利用非降采样Cotourlet(NSCT)变换和边缘直方图的草图检索算法。利用NSCT变换分解图像,对所有子带进行边缘检测,提取子带的边缘直方图用来作为描述图像和草图的特征。将该方法与边缘直方图比较实验表明,其检索效果更准确。
关键词: 草图检索, 非降采样Contourlet, 边缘直方图, 边缘检测
Abstract: There is a wide range applications of Sketch Based Image Retrieval. Considering the differences of sketches and images, it is to be proposed in this paper that a new approach of Sketch Based Image Retrieval through using NonSubsampled Contourlet(NSCT) transform and Edge Histogram Descriptor. By?using?NSCT?transform?decomposition?of?image?to?do?edge detection?for?all?subbands, and?extract?the?edge?histogram?of?the?subbands??that?is?used?as?describing?the features?of??images and?sketches. After comparing the method to the edge histogram descriptor, the experimental results show that the retrieval results are more accurate.
Key words: Sketch Based Image Retrieval(SBIR), NonSubsampled ConTourlet(NSCT), edge histogram descriptor, edge detection
陈 曦,肖 建. 基于NSCT边缘直方图的草图检索[J]. 计算机工程与应用, 2015, 51(22): 172-175.
CHEN Xi, XIAO Jian. Edge histogram for sketch based image retrieval using nonsubsampled contourlet edge detection.Computer Engineering and Applications[J]. Computer Engineering and Applications, 2015, 51(22): 172-175.
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