| 一类具有图像前景缩小功能的CNN模板的设计 |
| |
| 作者单位： | ;1.聊城大学计算机学院;2.聊城大学材料科学与工程学院 |
| |
| 摘 要： | 设计了一类使图像前景缩小的CNN模板,并对模板的鲁棒性进行了研究,结果表明:只要模板参数满足定理中的不等式,CNN就能完成使图像前景缩小的功能;通过实验模拟确认了理论结果在计算机图像处理应用中的有效性.
|
| 关 键 词： | 细胞神经网络 图像前景缩小 鲁棒性 实验模拟 |
Robustness Designing of CNN Template for Image Foreground Decreasing |
| |
| Institution: | ,School of Computer Science,Liaocheng University,School of Materials Science and Technology,Liaocheng University |
| |
| Abstract: | In this paper,a kind of CNN template is developed to decrease the objects in the images and the robustness of this template is also studied.The results show that the CNN can perform the function of decreasing the objects in the images,giving the template parameters meeting equation of the proposed theorems.The validity of theoretical results in computer image processing applications is confirmed through experimental simulation. |
| |
| Keywords: | Cellular Neural Network image foreground(objects)decreasing robustness experiment simulation |
| 本文献已被 CNKI 等数据库收录！ |
