最小二乘法估计仿射矩阵

说明：  生成差异图，用于变化检测，包含比值法、差值法、均值比算法等(The difference graph is generated for change detection, including ratio method, difference method and mean ratio algorithm)

sift图像匹配的纯matlab代码,研究图像配准的可以用这个，配准图像效果较好！！(sift pure image matching matlab code of image registration can use this, the image registration is better! !)

采用四元组进行图像融合质量评价的matlab程序，包括原文paper(Four-tuple image fusion matlab quality evaluation procedures, including the original paper)

基于图像颜色矩和纹理的图像检索系统，matlab语言编写，图像库包含在内(Image color and texture-based image retrieval system, Matlab language, image library included)

图像滤镜应用源码例程,程序结合易语言扩展界面支持库，调用API函数实现同图像设备场景的重画。(Image filter application source code routines, programs combined with easy language support library expansion interface , call the API functions to achieve the same imaging equipment redraw the scene .)

用广义高斯模型（GGM）拟合分布代码，包括生成直方图，参数估计等(for GGM simulation)

包涵了计算影像的几种质量指标，这些指标都是全局指标，对影像质量评价有一定作用(Image Quality Index ：IFC、Q4、QNR、VIF)

最新的用matlab实现的ＳＰＩＨＴ算法，实现对图像的高性能压缩。(Matlab using the latest achievement of SPIHT, the realization of high-performance image compression.)

3、 请采用学过的图像复原算法（鼓励自己研究新算法），对 blur3.jpg、 sadhna_53_45.bmp和telescope.bmp 图像进行复原处理。(3, please use the learned image restoration algorithm (to encourage their study new algorithm), to blur3.jpg, sadhna_53_45.bmp and telescope.bmp image restoration processing.)

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)