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一种基于改进Hu矩的图像检索方法
引用本文:张恒博,商周,李灵华. 一种基于改进Hu矩的图像检索方法[J]. 大连民族学院学报, 2011, 13(5): 499-501,506
作者姓名:张恒博  商周  李灵华
作者单位:大连民族学院计算机科学与工程学院,辽宁大连,116605
摘    要:提出了一个在形状轮廓的基础上,进行改进的Hu矩的形状特征提取与检索方法。首先,对图像进行预处理,利用多阈值颜色分割法提取出图像的前景对象,再采用轮廓跟踪法得到该对象的形状轮廓特征;然后,计算7个不变矩,再转化为10个改进的Hu矩,组成图像的特征向量;最后,用欧氏距离度量图像间的相似度。实验结果表明,该方法具有较好的检索效果。

关 键 词:基于形状  图像检索  Hu不变矩

A Method of Image Retrieval Based on Improved Hu Moments
ZHANG Heng-bo,SHANG Zhou,LI Ling-hua. A Method of Image Retrieval Based on Improved Hu Moments[J]. Journal of Dalian Nationalities University, 2011, 13(5): 499-501,506
Authors:ZHANG Heng-bo  SHANG Zhou  LI Ling-hua
Affiliation:ZHANG Heng-bo,SHANG Zhou,LI Ling-hua(College of Computer Science and Engineering,Dalian Nationalities University,Dalian Liaoning 116605,China)
Abstract:A new method for CBIR based on shape relative moments feature has been presented. Firstly, the image has been pre -processed, the foreground object has been extracted using multi- threshold image segmentation. Then the seven invariant moments have been calculated and translated to ten improve Hu moments, which constructors characterize vectors of image ; Finally, the similarity between two images' normalized moment vectors has been measured taking use of Euclidean distance. Experimental results showed that the method has a very good retrival effect.
Keywords:shape - based  image retrieval  Hu invariant moments
本文献已被 CNKI 维普 万方数据 等数据库收录!
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