| 灰度共生矩阵与Sobel算子结合的图像检索方法 |
| |
| 引用本文： | 刘娜,张海成,刘智渊,彭晓明. 灰度共生矩阵与Sobel算子结合的图像检索方法[J]. 空军雷达学院学报, 2006, 20(2): 126-128 |
| |
| 作者姓名： | 刘娜 张海成 刘智渊 彭晓明 |
| |
| 作者单位： | 1. 空军雷达学院研究生管理大队,武汉,430019
2. 空军雷达学院信息与指挥自动化系,武汉,430019 |
| |
| 摘 要： | 为了加快基于纹理的图像检索的速度，提出了一种灰度共生矩阵和Sobel算子结合的图像检索方法．该方法克服了灰度共生矩阵算法在表示纹理特征时计算量过大的缺点，又较好地保留了灰度共生矩阵算法的优点．实验结果表明，该方法取得了较好的检索效果．
|
| 关 键 词： | 纹理 灰度共生矩阵 Sobel算子 |
| 文章编号： | CN42-1564（2006）02-0126-03 |
| 收稿时间： | 2005-12-23 |
| 修稿时间： | 2005-12-232006-01-13 |
An Image Retrieval Algorithm Using GLCM and Sobel Operator |
| |
| LIU Na,ZHANG Hai-cheng,LIU Zhi-yuan,PENG Xiao-ming. An Image Retrieval Algorithm Using GLCM and Sobel Operator[J]. Journal of Air Force Radar Academy, 2006, 20(2): 126-128 |
| |
| Authors: | LIU Na ZHANG Hai-cheng LIU Zhi-yuan PENG Xiao-ming |
| |
| Abstract: | In order to speed up the image retrieval based on texture, an image retrieval method using gray-level co-occurrence matrix and Sobel operator was proposed. It not only overcomes the shortcoming of gray-level co-occurrence matrix algorithm that needs too much computation to describe texture feature, but also maintains the advantages of gray-level co-occurrence matrix algorithm. The experimental results show that the method is of better retrieval effect. |
| |
| Keywords: | |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
