【24h】

Process Weather Image By Some CNN

机译:通过某些CNN处理天气图像

获取原文

摘要

In this paper, a kind of wipe noise according CNN has been put forward. And the different CNN has been used to process weather image. The first stage is that we provide a method to wipe off the noise from image by a kind of CNN (Cell Nerve Network) template, HalfToning Cell Nerve Network (HTCNN). It can wipe off the Gaussian noise and Speckle noise. It's in reason from the simulation. Then we try to process the weather image by HTCNN. Change some parameter to process the weather image. The cloud seems clearer from the processed image. The second stage is that we take a new way to process image to embossment by CNN. We use a the Optimal Edge Detector Cellular Neural Network (OPCNN) to process weather image. Some embossment had appear on the image when it processed by OPCNN. It will be easy to analysis the weather image from the embossment of the picture.
机译:本文提出了一种基于CNN的擦拭噪声。并且使用了不同的CNN来处理天气图像。第一阶段是我们提供一种通过一种CNN(细胞神经网络)模板,半色调细胞神经网络(HTCNN)消除图像噪声的方法。它可以消除高斯噪声和斑点噪声。这是模拟的原因。然后,我们尝试通过HTCNN处理天气图像。更改一些参数以处理天气图像。从处理后的图像看,云看起来更清晰。第二阶段是我们采用一种新的方法来处理CNN进行浮雕的图像。我们使用最佳边缘检测器细胞神经网络(OPCNN)来处理天气图像。由OPCNN处理时,图像上出现了一些浮雕。从图片的浮雕中分析天气图像将很容易。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号