segy

背景建模和前景分割的方式把运动车辆提取出来。并进行最近临关联，输出目标轨迹。 MeanShift运动目标跟踪 matlab程序 1.截取跟踪目标矩阵rect 2.求取跟踪目标的加权直方图hist1 3.读取视频序列中的一帧， 先随机取一块与rect等大的矩形，计算加权直方图hist2。 4.计算两者比重函数，如果后者差距过大， 更新新的矩阵中心Y，进行迭代（MeanShift是一种变步长可以迅速接近概率密度峰值的方法），直至一定条件后停止。 这两种算法为处理图像跟踪的基本方法 (Background modeling and foreground segmentation the extracted moving vehicles. Pro associated output and the target locus. Target tracking matlab program MeanShift movement. Interception tracking the target matrix rect strike a tracking target weighted histogram hist1 3. Reads a video sequence, randomly take a with the rect large rectangular, calculate the weighted histogram hist2. 4. Calculate both the proportion of function, if the latter gap is too large to update the new center of the matrix Y conducted the iteration (MeanShift is a variable step size can be rapidly approaching the peak of the probability density) until certain conditions to stop. The basic method of these two algorithms for processing the image tracking)

MATLAB实现图像的傅里叶变换，包括一维傅里叶变换，二维傅里叶变换(MATLAB Fourier transform of image, including the one-dimensional Fourier transform, two-dimensional Fourier transform)

ITTI视觉显著性检测MATLAB工具箱可用于检测图像视觉显著性(ITTI visual saliency detection MATLAB toolbox can be used to detect visual saliency of images)

区域生长，基本处理方法是 以一组种子点开始来行程生长区域，即将哪些预定义属性类似于种子的邻域像素附加到每个种子上 (regional growth, the basic approach is based on a group of seed starting point to the growth of regional tour, What about predefined attributes similar to seed the neighborhood of each pixel additional seeds)

说明：  此程序是关于车牌识别重的一个重要环节——图像的二值化过程，希望能给你一些帮助(this program is heavy on the license plate to identify an important part of the-- the two values image process and hope to give you some help)

在张正友的基于平面方格的摄象机标定中,单应矩阵是关键的一步,本程序是效率精度比较高的源码(Zhang is the Friends of the plane on the box camera calibration alone should matrix is a crucial step, The procedure is relatively high efficiency accuracy of source)

a Method for Applying Morphological Watershed Segmentation on Brain tumor MRI Data...

2d convolution on image

本文档主要用于图像的倾斜矫正，通过建立透视变换矩阵和强角点检测实现畸变图形的矫正(This document is mainly used for Image tilt correction, through the establishment of perspective transformation matrix and strong corner detection, to achieve distortion correction)

给定一幅图像，输出其直方图。给定一个线性变换函数(可以输入不同的参数)，实现图像的灰度拉伸；实现对图像的均衡化。 实验测试图像：任意 (histogram；Gray stretch；Image equalization)