| 基于改进纹理粗糙度的图象检索研究 |
| |
| 引用本文： | 孙兴华,杨静宇,郭丽. 基于改进纹理粗糙度的图象检索研究[J]. 计算机工程, 2002, 28(1): 144-145,246 |
| |
| 作者姓名： | 孙兴华 杨静宇 郭丽 |
| |
| 作者单位： | 南京理工大学计算机系,南京 2l0094 |
| |
| 摘 要： | 对原有纹理粗糙度算法在选取邻域尺寸和计算邻域均值差值这两方面进行了改进，并给出了改进纹理粗糙度算法，实验表明，改进纹理粗糙度具有更强的纹理分辨能力和更好的旋转不变性，基于改进纹理粗糙度的图象检索结果优于基于原有纹理粗糙度的图象检索结果。
|
| 关 键 词： | 纹理粗糙度 线性量化 局部梯度方向 图像检索 图像处理 |
| 文章编号： | 1000-3428(2002)01-0144-02 |
Research of Image Retrieval Based on Improved Coarseness |
| |
| SUN Xinghua,YANG Jingyu,GUO Li. Research of Image Retrieval Based on Improved Coarseness[J]. Computer Engineering, 2002, 28(1): 144-145,246 |
| |
| Authors: | SUN Xinghua YANG Jingyu GUO Li |
| |
| Abstract: | This paper improves the previous coarseness algorithm on the selection of neighborhood sizes and the calculation of neighborhood average differences, and the improved coarseness algorithm is presented. Experiments show that the improved coarseness has higher texture discriminability and better circumrotation invariance, and that the image retrieval result based on the improved coarseness is superior to that based on the previous coarseness. |
| |
| Keywords: | Textural coarseness Linear quantization Local gradient direction Image retrieval |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
