inverhuifu

粒子滤波去噪 含噪情况下应用粒子滤波技术可以去除噪声(Particle filtering noise with noise case using particle filtering techniques can remove noise)

KLT跟踪算法，附有程序，并附有两个例子，可以完美运行(KLT tracking algorithm, with the program, along with two examples of the perfect run)

图相多描述编码matlab仿真 多描述编码的matlab仿真，本科生的毕业设计 生成图像后计算psnr >> J=imread( 两描述都收到后重建的图像.bmp ) PSNR(I,J) ans = 32.3290 >> J=imread( 描述1重建后的图像.bmp ) >> PSNR(I,J) ans = 28.7011 >> J=imread( 描述2重建后的图像.bmp ) >> PSNR(I,J) ans = 29.1467 (Figure phase multiple description coding matlab simulation Matlab simulation of multiple description coding, undergraduate graduation design Generated images calculated psnr >> J = imread ( the reconstructed image after the two descriptions are received. Bmp ) >> PSNR (I, J) ans = 32.3290 >> J = imread ( to describe a reconstruction of images. Bmp ) >> PSNR (I, J) ans = 28.7011 >> J = imread ( to describe two reconstruction images. Bmp ) >> PSNR (I, J) ans = 29.1467)

在本文件中，我主要研究通过行人的表观特征进行识别，例如颜色、纹理等等。用matlab GUI 编写了程序，对行人进行匹配 (Pedestrian recognition of the inter-camera is intelligent surveillance camera network a key research direction. Match the pedestrian different camera, you can cross the pedestrian track of the camera, the expansion of the monitoring horizon, at the same time can have a clearer grasp of the behavior of pedestrians in the entire surveillance area. Different cameras, different lighting conditions, the pedestrian position and a different scale, shelter, etc., making the pedestrian match challenging. In this document, I study to identify by pedestrian apparent characteristics such as color, texture, and so on.)

说明：  图像增强程序，经测试有一定效果。其中采用模糊增强算法，值得参考。(Image enhancement procedures, have been tested and have a certain effect. Which the use of fuzzy enhancement algorithm, it is also useful.)

图像拼接源码实现，包括多频率图像融合，sift特征点配准算法(Image Stitching source implementation, including multi-frequency image fusion, sift feature points matching algorithm)

c++实现的sift，可以分步观看实现效果(c++ implementation of the sift, you can watch step by step to achieve results)

matlab平台实现平移的亚像素配准，精度0.03像素(matlab platform translation sub pixel registration accuracy of 0.03 pixels)

对比度拉伸，对原始图像进行对比度拉伸，从而得到拉伸后的图像(tensile contrast, the original image contrast stretching, and thus drawing the images)

软阈值去噪加中值滤波，m文件，直接运行，有gui界面(Plus soft thresholding median filter, m files, directly run a gui interface)