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一种基于改进Hu矩的图像检索方法
A Method of Image Retrieval Based on Improved Hu Moments
【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。
【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.
- 【文献出处】 大连民族学院学报 ,Journal of Dalian Nationalities University , 编辑部邮箱 ,2011年05期
- 【分类号】TP391.41
- 【被引频次】9
- 【下载频次】279