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利用分形编码进行基于形状的图像检索 被引量:1

Shape-based Image Retrieval Using Fractal Coding
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摘要 分形编码在图像压缩方面取得了很好的效果,同时也能够用于基于内容的图像检索。该文结合分形技术,提出了一种有效的抽取特征检索图像的新方法。针对目前基于形状的图像检索领域中存在的问题,首先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,该算法用一新的方式提取形状特征,实现了基于该算法的图像检索操作。实验结果表明该文算法能较好地描述图像的形状及空间分布信息,明显地提高了检索效率及准确度。 Fractal coding has been proved useful for image compression,and it is also proved effective for content-based image retrieval.In this paper,using fractal technique,we present a novel and efficient scheme for feature extract-ing.According to the problem of content-based image retrieval,a similar extension fractal coding arithmetic by construct-ing irregular region is presented.The arithmetic can get high compress ratio.In image retrieval,the paper gives a new method to get shape character of image,and image retrieval operation based on the arithmetic is realized.Experiment re-sult shows that the arithmetic can describe shape and space information commendably,and retrieval efficiency and ve-racity are advanced obviously.
出处 《计算机工程与应用》 CSCD 北大核心 2004年第13期60-63,共4页 Computer Engineering and Applications
基金 山东省自然科学基金项目:智能虚拟环境的研究(编号:Y2002G08)资助
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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参考文献10

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