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基于相似膨胀的分形图像检索

Fractal Image Retrieval Based on Similar Extension
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摘要 针对目前基于形状的图像检索领域中存在的问题 ,结合分形技术 ,提出了一种通过构造不规则区域的相似膨胀分形编码算法 ,该算法能获得较高的压缩比。在图像检索中 ,该算法用一种新方式提取形状特征 ,实现了基于该算法的图像检索操作。实验结果表明该算法能较好地描述图像的形状及空间分布信息 。 According to the problem of Content-based image retrieval,a similar extension fractal coding arithmetic by constructing irregular region was presented.The arithmetic can get high compress ratio.In image retrieval,it gives a new method to get shape character of image,and image retrieval operation based the arithmetic was realized.Experiment result shows that the arithmetic can describe shape and space information commendably,and retrieval efficiency and veracity were advanced obviously.
出处 《计算机应用研究》 CSCD 北大核心 2004年第6期114-116,共3页 Application Research of Computers
基金 山东省自然科学基金资助项目 (Y2 0 0 2G0 8)
关键词 分形编码 不规则区域 相似膨胀 基于内容的图像检索 Fractal Coding Irregular Region Similar Extension Content-based Image Retrieval(CBIR)
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