In order to improve the tomographic image resolution of complex multi-layer objects, a complex spectral domain optical coherence tomography (CSD-OCT) system is established.
为了提高复杂多层样品层析图像的分辨率，构建了复谱频域光学相干层析成像(CS OCT)系统。
To avoid calculating the time-consuming Sommerfeld's integrals, the discrete complex image method (DCIM) is employed to obtain spatial domain closed-form Greens function for planar-layered media.
使用离散复镜像方法(DCIM)快速得到平面分层介质的空间域的闭式格林函数，避免了费时的索末菲尔德积分。
Finally, based on the work of above, proposed a method of description and extraction image color and texture features in the dual tree complex wavelet transformation domain.
最后，在上面工作的基础上，提出了基于对偶数复小波域的图像的颜色和纹理特征的描述和提取方法。
A new locally adaptive image denoising method, which exploits the intra-scale and inter-scale dependency in the dual-tree complex wavelet domain, is presented.
充分利用二元树复数小波域内系数尺度间和尺度内的统计依赖关系，提出了一种新的局部自适应图像去噪方法。
Secondly, using locally variance estimation, a locally adaptive image-denoising algorithm was presented. Also this algorithm could be applied to the complex wavelet domain.
在实验中，将该算法分别应用到实值离散小波变换域和双树复数小波变换域，并和隐马尔科夫模型的去噪方法做了比较分析。
Secondly, using locally variance estimation, a locally adaptive image-denoising algorithm was presented. Also this algorithm could be applied to the complex wavelet domain.
在实验中，将该算法分别应用到实值离散小波变换域和双树复数小波变换域，并和隐马尔科夫模型的去噪方法做了比较分析。
应用推荐