BilateralFiltering

说明：  matlab实现视频中动态目标跟踪，跟踪动态目标，确实效果很好(matlab implementation of dynamic video target tracking, tracking dynamic target is indeed good results)

基于VC++的图像处理类，可以用于bmp文件的读写，显示(Based on the image processing VC++ classes that can be used to read and write bmp files, display)

十分有用的 图像pocs算法，内有图片说明及示例(A very useful POCS algorithm for images, with illustrations and examples)

一种简单的虹膜特征提取Matlab实现，主要是gabor滤波器的实现。(A simple iris feature extraction Matlab, gabor filter realization.)

提出了一种基于图像边缘连接的线段检测方法。数字图像中的线段是由很多线段图元组成,在同一 条线段中,它们的方向是相同的并且受到真实线段的方向约束。因此可以通过提取小的线段图元, 然后分析它们 的连接特性, 进行线段的检测。首先用ADM 算法对图像进行边缘检测, 得到单像素宽的边缘 然后在4 个方向上 进行线段的检测 对初步得到的结果进行合并和验证, 去掉短的线段, 连接临近的线段。经过实验证明, 该方法能 够快速地提取图像中的线段,并且对噪声具有一定的鲁棒性(A line segment connecting a detection method based on image edges. The segment of the digital image is composed by many segments elements, their orientation is the same and by the real line segment direction constraint in the same segment. By extracting a small segment Element can then analyze their connection characteristics for the detection of the line segment. First with ADM algorithm for edge detection on the image to obtain a single-pixel-wide edge then in the four directions on the detection of the line segments merger and verification of the preliminary results obtained, removing the short line segments, the line segments connected near. The experiments show that this method can quickly extract the line segments in the image, and certain robustness to noise)

本程序可以实现MPEG-2I帧基本层编码和解码。图像大小为352*288.(This program implements the MPEG-2 I base layer frame encoding and decoding. Image size is 352* 288.)

自行编写的逆投影变换，可实现图像坐标系到世界坐标系的转换，从实现鸟瞰变换。(the IPM ,which is completed by me, is able to achieve the transformation between the image coordinates and world coordinates )

说明：  一个十分典型的220KV电气主接线图，让初学者能很好理解电气接线图的特点(A very typical 220KV main electrical wiring diagram, so that beginners can well understand the characteristics of electrical wiring diagram)

包含二维曲波变换、反变换；三维曲波变换；二维曲波变换(Including two-dimensional Qu Bo transform, inverse transform, 3D Qu Bo transform, and two-dimensional Qu Bo transform)

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)