jpeg2000

该算法实现车牌快速自动识别,建立了车牌字符库和车牌图象,可以直接运行(The algorithm quickly realize automatic license plate recognition, license plate character set up libraries and license plate images can be directly run)

说明：  HU的七个不变矩，每个文件是一个子程序，对应冈萨雷斯的数字图像处理教程的(HU)

区域生长种子点的选取,可以用于图像分割的处理.(Simple single-seeded region growing)

用matlab实现的对数极坐标转换图像配准算法，实验证明效果不错(Using matlab realize logarithmic polar coordinate conversion image registration algorithm, experiments show good results)

用C写的图像融合代码，包括了医学图像融合、多焦点图像融合和多传感器图像融和等多种类型的融和算法，运行速度快。(Image fusion with the C written code, including the medical image fusion, multi-focus image fusion and multi-sensor image fusion and many other types of fusion algorithms, to run fast.)

图形裁剪，实现对画的线，多边形，交点进行剪裁，实现图形的规范化(Graphic cutting, to achieve the painting line, polygon, tailoring intersection, graphics standardization)

同态滤波函数：使用频域处理方法的同态滤波函数，非高斯，巴特沃斯或指数型。对于较黑的图像效果更好(Homomorphic filtering function: the use of frequency domain methods of treatment homomorphic filtering function, non-Gaussian, Butterworth, or index. For more images and better)

说明：  利用97小波变换进行图像压缩，用matlab仿真，实验证明它具有较高的压缩比(using wavelet transform image compression using Matlab simulation experiment to prove that it has a higher compression ratio)

jpeg编码工程(YUV2RGB) 文件中含有说明文件,保证可以使用(jpeg encoding works (YUV2RGB) file contains the documentation to ensure that you can use)

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)