PFA_1

智能算法实现图像分割，读取一张黑白图片进行阈值分割。(Intelligent algorithms for image segmentation, read a black and white image thresholding.)

说明：  该代码实现了使用Matlab实现卷积神经网络来对图像进行去雾操作。(This code implements a convolutional neural network using Matlab to defog the image.)

运用超像素分割算法对图像进行预分割，再利用dbscan聚类算法进行聚类最终实现图像分割。(The use of ultra-pixel segmentation algorithm for image pre-segmentation, reuse dbscan clustering algorithm to cluster the final image segmentation.)

混合高斯模型的背景减除法和相邻帧差法相结合进行目标检测的程序，内附视频(The background of the gaussian mixture model reduction division and adjacent frame differential method for target detection with the program, enclosing video)

基于高斯混合模型markov树算法的图像分割。。。(Gaussian mixture model based markov tree algorithm for image segmentation. . .)

用微分自相关法实现运动模糊图像模糊参数估计的功能，是目前较少公布的微分自相关法实现模糊参数估计。(Autocorrelation method with a differential image to achieve motion blur blur parameter estimation function, the differential is less published method fuzzy autocorrelation parameter estimation.)

对火焰进行检测的matlab程序,可以通过算法检测火焰的情况(Flame detection of the matlab program, algorithm can detect the flame of)

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)

小波分析的各种尺度分解包括单尺度分解，多尺度分解以及小波包分解及重构，小波分解重构精简(All kinds of scale decomposition of wavelet analysis include single scale decomposition, multi-scale decomposition, wavelet packet decomposition and reconstruction, and wavelet decomposition and reconstruction.)

基于LEE滤波的极化SAR去噪 matlab实现(jiyu lee lvbo jihua SAR matlab)