An Image Retrieval Algorithm Based on Weighted Multi-Feature Fusion of Interest Region

TANG Zhao-xia; ZHANG Hui; WU Hai-hua

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An Image Retrieval Algorithm Based on Weighted Multi-Feature Fusion of Interest Region

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- An Image Retrieval Algorithm Based on Weighted Multi-Feature Fusion of Interest Region
- Vol. 28, Issue 6, Pages: 205-208(2011)
- 作者机构：
  
  1. 1 淮阴工学院机构计算机工程学院,江苏,淮安,223003
  2. 2 扬州大学机构,江苏,扬州,225000
- 作者简介：
- 基金信息：
- DOI：
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- Published：2011
- 稿件说明：
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唐朝霞, 章慧, 吴海华. 基于感兴趣区域多特征加权融合的图像检索算法[J]. 微电子学与计算机, 2011, 28(6): 205-208.

TANG Zhao-xia, ZHANG Hui, WU Hai-hua. An Image Retrieval Algorithm Based on Weighted Multi-Feature Fusion of Interest Region[J]. 2011, 28(6): 205-208.
唐朝霞, 章慧, 吴海华. 基于感兴趣区域多特征加权融合的图像检索算法[J]. 微电子学与计算机, 2011, 28(6): 205-208. DOI：

TANG Zhao-xia, ZHANG Hui, WU Hai-hua. An Image Retrieval Algorithm Based on Weighted Multi-Feature Fusion of Interest Region[J]. 2011, 28(6): 205-208. DOI：

摘要

基于内容的图像检索有着广阔的应用前景

但存在检索性能不高的缺点.综合兴趣点和多特征融合的优点

提出一种基于感兴趣区域多特征加权融合的图像检索算法.采用Harris算法提取图像的兴趣点

确定感兴趣区域;再采用累积灰度直方图、共生矩阵和形状不变矩分别提取感兴趣区域的颜色、纹理和形状特征;经归一化后

最后采用距离函数级融合来度量图像的相似度

以检索图像.实验表明

算法有效地提高了图像的检索性能.

Abstract

Content-based image retrieval has broad application prospects

but search efficiency is not high.Based on the advantages of multi-feature fusion and interest points

proposed an Image retrieval algorithm.using Harris algorithm extract interest points

determine Interest Region;then using color histogram

co-occurrence matrix and shape invariant moment extract the color

texture and shape features of interest region;finally using distance function to measure the similarity between images to retrieve the image.Experiments show that this algorithm effectively improves the image retrieval efficiency.

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