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  • 匿名
关注:1 2013-05-23 12:21

求翻译:从图2-5的视觉对比中可以得到:相对于原噪声图像小波硬阈值方法能在一定程度上减小噪声,但去噪效果不够良好,且造成了绝缘子边缘模糊。小波软阈值方法去噪效果比硬阈值方法有所改善,但对噪声的抑制依然不够优越。本文所采用方法实现了噪声的良好滤除,绝缘子轮廓完整,边缘清晰,视觉效果良好,为后续绝缘子故障识别奠定了良好基础。是什么意思?

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从图2-5的视觉对比中可以得到:相对于原噪声图像小波硬阈值方法能在一定程度上减小噪声,但去噪效果不够良好,且造成了绝缘子边缘模糊。小波软阈值方法去噪效果比硬阈值方法有所改善,但对噪声的抑制依然不够优越。本文所采用方法实现了噪声的良好滤除,绝缘子轮廓完整,边缘清晰,视觉效果良好,为后续绝缘子故障识别奠定了良好基础。
问题补充:

  • 匿名
2013-05-23 12:21:38
Can be obtained from the visual comparison of Figure 2-5: reduce noise relative to the original noise image wavelet hard threshold method to a certain extent, but enough good denoising, and cause the insulator edge blur. Wavelet soft threshold denoising than the hard threshold methods improved but i
  • 匿名
2013-05-23 12:23:18
From Figure 2 - the visual comparison of the 5 can be compared to the original noise image small wave threshold method can be to a certain extent, reduce noise, and noise reduction but not enough to go to good, and the insulator Edge Blur. Small waves soft threshold approach to noise reduction effec
  • 匿名
2013-05-23 12:24:58
正在翻译,请等待...
  • 匿名
2013-05-23 12:26:38
Visual contrast from 2-5, you can get: with respect to the original method of wavelet noise image hard threshold to a certain extent, reduce the noise, but the noise removal effect is not good enough, and caused the insulators edge blur. Method of wavelet soft-threshold denoising effect than a hard
  • 匿名
2013-05-23 12:28:18
May obtain from Figure 2-5 vision contrast: Is opposite can reduce the noise to a certain extent in the original noise image wavelet hard threshold value method, but the denoising%
 
 
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