| 一种基于竞争层神经网络的新型图像轮廓线分组算法 |
| |
| 引用本文： | 田树华,宋立明,王庚.一种基于竞争层神经网络的新型图像轮廓线分组算法[J].计算机应用,2008,28(12):3147-3149. |
| |
| 作者姓名： | 田树华 宋立明 王庚 |
| |
| 作者单位： | 唐山学院东校区,信息工程二系,河北,唐山,063020 |
| |
| 摘 要： | 提出了一种基于竞争层神经网络(CLNN)的新型图像轮廓线分组算法。该算法借助于CLNN对生物大脑视觉皮层侧向连接和WTA连接模式的功能性模拟，采用与生物神经元类似的视觉信号处理机制对图像的相应区域进行分组感知。实验证明，所提出的算法具有分组能力强、抗噪声能力突出的优点。
|
| 关 键 词： | 竞争层神经网络 轮廓线分组 图像处理 |
| 收稿时间： | 2008-06-25 |
| 修稿时间： | 2008-08-07 |
Novel image contour grouping algorithm based on competitive layer neural network |
| |
| TIAN Shu-hua,SONG Li-ming,WANG Geng.Novel image contour grouping algorithm based on competitive layer neural network[J].journal of Computer Applications,2008,28(12):3147-3149. |
| |
| Authors: | TIAN Shu-hua SONG Li-ming WANG Geng |
| |
| Affiliation: | TIAN Shu-hua,SONG Li-ming,WANG GengDepartment two of Information Engineering,Tangshan College,Tangshan Hebei 063020,China |
| |
| Abstract: | An image contour grouping algorithm based on Competitive Layer Neural Network (CLNN) was proposed. The presented algorithm, which is inspired from the lateral interactions and WTA interaction within the biological visual cortex, performs the grouping perception on the image by using the visual signal processing mechanisms similar to the biological neurons. The results of experiments show that the proposed algorithm exhibits stronger grouping capability and promising anti-noise capability. |
| |
| Keywords: | Competitive Layer Neural Network (CLNN) contour grouping image processing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机应用》浏览原始摘要信息 |
|
点击此处可从《计算机应用》下载全文 |
