Segmentation based on maximum cumulative residual entropy classic infrared image thresholding method is one of the commonly used image segmentation method, but for low-contrast, low SNR infrared image segmentation is not satisfactory, the cumulative residual entropy applied to infrared image segmentation, that makes the search for the maximum cumulative residual entropy of gray values as a threshold value segmentation experimental results show that: image segmentation based on maximum cumulative residual entropy method is an effective infrared image segmentation method, compared to the classical threshold segmentation method, infrared image segmentation better than

鍥惧儚澶嶆潅搴︽弿杩版柟娉曠爺绌?pdf

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．