Glcm-untitled

Matlab程序，用于图像去噪声处理，特色是能够在去噪时保护图像边缘，是非线性滤波处理(Matlab program for the image to deal with noise, features that can protect the edge denoising is nonlinear filtering deal)

改进经典的otsu算法，使其适应目标所占图像比例较小的情况，使图像分割方法更具有自适应性 (Improve classic otsu algorithm to achieve image segmentation)

探索图像恢复中出现的正则化方法及其理论基础，进一步发展Tikhonov正则化方法，得到图像恢复算法和工程实际中一些病态问题的解，进一步发展已有的数值解 法,(Exploration of image restoration emerged regularization method and its theoretical basis, the further development of Tikhonov regularization method, the image restoration algorithm and engineering solutions of some ill-posed problem, the further development of existing numerical method,)

说明：  非局部去噪算法-nonlocal denoise 源码(Non-Local Denoising Algorithm-nonlocal denoise source)

了解直线拟合、平面拟合的方法 掌握用随机抽样一致 算法实现平面提取(A method of understanding straight line fitting and plane fitting Grasp the random sampling consensus algorithm for planar extraction)

可以实现平面图像到球面坐标的映射变换，效果较好，附原始图片。(Plane image mapping transformation to spherical coordinates better with the original picture.)

使用HIO算法实图像现相位恢复，包含源代码，简单实用。(HIO algorithm real image phase recovery, including source code, simple and practical.)

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.)

图像细化处理的C代码，效果较好，对初学者有较好的参考作用(Image processing of C code, the effect is good, is good for beginners reference)

MATLAB书写的程序，包括卡尔曼滤波，改进卡尔曼滤波，高斯算法等多个经典算法，这是笔者多年的心血(matlab Generate unscented transformation weights，)