节点文献
基于相似膨胀的分形图像检索
Fractal Image Retrieval Based on Similar Extension
【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 ,明显地提高了检索效率及准确度
【Abstract】 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.
【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;
【Key words】 Fractal Coding; Irregular Region; Similar Extension; Content-based Image Retrieval(CBIR);
【Key words】 Fractal Coding; Irregular Region; Similar Extension; Content-based Image Retrieval(CBIR);
【基金】 山东省自然科学基金资助项目 (Y2 0 0 2G0 8)
- 【文献出处】 计算机应用研究 ,Application Research of Computers , 编辑部邮箱 ,2004年06期
- 【分类号】TP391.3
- 【被引频次】3
- 【下载频次】93