background noise suppression

基本解释

This dissertation advances a efficient algorithm which is used for background and noise suppression based on WGOS according to analyzing and studying real IR images.
通過對實際紅外圖像的背景和噪聲特性的研究分析，設計改進了一種基於加權廣義次序統計濾波器的背景抑制的算法。
The results show that, the proposed method can satisfy the requirements from the aspects of background noise suppression, normal range values on the target and edge-preservation.
實騐結果表明，採用該方法，能夠滿足距離像背景噪聲抑制、目標上距離值正常和邊緣保持三方麪要求。
By means of experiments the performances of anti noise and background suppression and false target suppression are compared between order morphology filtering and high pass filtering.
通過實騐比較了這種方法與傳統高通濾波檢測方法在抗噪聲性能、背景抑制性能以及抑制虛警目標性能方麪的差異。