| 图象自相似性测度算法的研究比较 |
| |
| 引用本文： | 董远,吴小滔,胡光锐. 图象自相似性测度算法的研究比较[J]. 应用科学学报, 1998, 16(3): 372-374 |
| |
| 作者姓名： | 董远 吴小滔 胡光锐 |
| |
| 作者单位： | 1. 上海交通大学;2. 上海第二工业大学 |
| |
| 摘 要： | 图象的自相似性测度可作为图象识别和图象压缩的重要特征参量.分形几何图形具有自相似性和递归性,分形维数自然成为有效的自相似性测度.基于目前常用的有效的计算图象分形维数算法,其中包括"毯子"法、"盒子"法、"分数布朗随机场模型"法和各种改进算法,对各种方法的计算量、适用范围进行了研究比较.
|
| 关 键 词： | 分形 分形维数 纹理 |
| 收稿时间： | 1997-06-12 |
| 修稿时间： | 1997-10-09 |
Comparison of the Algorithms on Image Similarity Measure |
| |
| DONG YUAN WU XIAOTAO HU GUANGRUI. Comparison of the Algorithms on Image Similarity Measure[J]. Journal of Applied Sciences, 1998, 16(3): 372-374 |
| |
| Authors: | DONG YUAN WU XIAOTAO HU GUANGRUI |
| |
| Affiliation: | 1. Shanghai Jiaotong University, Electronic Engineering Department, shanghai 200030;2. Shanghai Secondary Polytechnic University, shanghai 200041 |
| |
| Abstract: | The similarity measure of image could be a useful character in image recognition and compression. Fracal pictures possess similarity and recursion, and fractal dimension naturally becomes a effective measure of similarity. The paper mainly discusses the complexity and applicability of the effective fractal dimension algorithms interested in these years, including blanket method, boxing method, fraction Brown random model method and other methods improved. |
| |
| Keywords: | fractal fractal dimension texture |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《应用科学学报》浏览原始摘要信息 |
|
点击此处可从《应用科学学报》下载全文 |
|
