节点文献
矩形NAM图像表示及其上的连通区域标记算法
Study on Rectangle NAM Model for Connected Component Labeling
【摘要】 既能减少数据量又能直接快速地进行运算是图像表示方法所追求的目标。本文为克服传统的图像层次结构限制条件过多的缺陷,在借鉴Packing问题的思想的基础上,提出了非对称逆布局模式表示模型(Non-Symmetry and Anti-Packing Pattern Representation Model,NAM)。NAM模型的非对称层次结构使其在表示一幅图像时没有过多的限制条件,因此可以获得更高的压缩比,而且它可以直接进行某些图像处理运算,其基于像素块的运算方式使它的运算效率更高,矩形NAM图像表示和基于它的连通区域标记算法证明了这一点。
【Abstract】 Less data and faster operation are the aim of image representation,for overcoming the shortcoming of tradi- tional hiberarchy of image which has over many limitations,a non-symmetry anti-packing pattern representation model (NAM)is presented with the concept of packing problem.NAM has less limitations when representing an image for its non-symmetry hiberarchy,ao it can acquire higher compression ratio and do some image processing directly and more quickly,which is proved by rectangle NAM image representation and connected component labeling with it.
【Key words】 Packing problem; Image representation; Connected component labeling;
- 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,2007年09期
- 【分类号】TP391.41
- 【被引频次】13
- 【下载频次】149