CepstrumPWiner

产生高维的高斯白噪声数据，这在SAR中使用的很多，并且占有重要的地位，主要表现在，SAR去噪这一部分，能更好的成像(White Gaussian noise high-dimensional data, used in SAR lot, and occupy an important position, mainly, SAR denoising this part, better imaging)

利用idl语言实现图像的数学形态学开闭重建运算，比提取梯度图像。(Idl language use mathematical morphological opening and closing image reconstruction operations, compared to extract gradient image.)

一个车牌定位方法，包括图像的灰度化，二值化，数学形态学的处理，滤波等(A license plate location methods, including gray-scale images, the binarization, mathematical morphology processing, filtering, etc.)

说明：  程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象 (some imageprocessing sourcecode)

用图切分（Graph_Cut）分割图像彩色图像、灰度图像及二值图像，效果较好，尤其是金相组织图像的分割更加有效。(Graph_Cut)

点云关键点搜索，根据曲率极值法搜索关键点(PCL:keypoint detection, used for registration and segmentation)

说明：  基于matlab的ssim图像质量评价，验证还可以(Image quality evaluation)

针对杂波环境下的多个机动目标跟踪问题, 本文将多模型概率假设密度 (Multiple-model probability hypothesis density, MM-PHD) 滤波器和平滑算法相结合, 提出了 MM-PHD 前向 – 后向平滑器. 为了避免引入复杂的随机有限集 (Random finite set, RFS) 理论, 本文根据 PHD 的物理空间 (Physical space) 描述法推导得到了 MM-PHD 平滑器的后向更 新公式. 由于 MM-PHD 前向–后向平滑器的递推公式中包含有多个积分(By integrating the multiple-model probability hypothesis density (MM-PHD) filter with the smoothing al- gorithms, an MM-PHD forward-backward smoother is proposed in this paper for tracking multiple maneuvering targets in clutter. To avoid use of complex random finite set (RFS) theory, the backward updated equation of the MM-PHD smoother can be derived according to the physical-space explanation of the PHD)

fbp算法实现CT重建，包括不同投影个数、探测器个数和噪声对重建后图像的质量的影响。(FBP CT reconstruction algorithm, including the number of different projection, and the number of detector noise on the reconstructed image quality.)

中国古代书法作品由于自然风化和人为因素导致的背景中包含大量噪声，重建背景图像，提高观赏价值。直接运行BackgroundFix.m即可(Since the background of ancient Chinese calligraphy works of natural weathering and human factors included a lot of noise, the background image reconstruction, improve the ornamental value. It can run directly BackgroundFix.m)