ridgelet

基本解釋

Is Ridgelet Transform Better than Wavelet Transform in SAR and Optical Image Fusion?
基于脊波變換的SAR與可見(jiàn)光圖像融合研究?
Abstract A method for edge detection based on adaptive ridgelet transform was proposed.
摘要通過(guò)分析現(xiàn)有的一些方法，提出了一種基于自適應(yīng)脊波變換的邊緣檢測(cè)方法。
Each detail image is first denoised with ridgelet threshold method, and then decomposed with wavelet.
對(duì)細(xì)節(jié)圖像進(jìn)行脊波閾值去噪處理，然后再進(jìn)行單層小波分解。
On the other hand, it has more flexible structure, rapider processing speed, greater tolerance and robustness than the fixed ridgelet transform.
相對(duì)固定的脊波變換它具有更靈活的結(jié)構(gòu)、快速并行的處理速度以及強(qiáng)容錯(cuò)性和魯棒性。
Numerical results show that ridgelet transform is more effective than the wavelet transform in approximating and denoising images with straight edges.
實(shí)驗(yàn)結(jié)果說(shuō)明，脊波在對(duì)具有直線邊緣的圖像逼近和去噪時(shí)的確比小波有效。