lable_parallel

说明：  基于小波变换的图像融合，可实现两幅图像的融合，融合规则可自定义(Image fusion based on wavelet transform can realize the fusion of two images, and the fusion rules can be customized)

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)

用于求解张正友相机标定过程中的单应性矩阵(Homography matrix for camera calibration)

c# bmp图片转 jpg格式实例 附源码

三维labeling_GM_PHD程序,三维labeling_GM_PHD程序(The dimensional labeling_GM_PHD procedures,matlab programme!The dimensional labeling_GM_PHD procedures,matlab programme!)

用平均背景法去除背景，算法思想比混合高斯模型和codebook模型简单，适合提取背景变化较小的场景。用中值滤波去除掉产生的椒盐噪声(Average method to remove the background with the background, the algorithm thought codebook than the Gaussian mixture model and a simple model for extraction of small changes in background scene. With a median filter to remove salt and pepper noise generated)

说明：  不管对于图像的编码还是解码，三次样条算法的性能都是很好的，然后由于计算量比较大使他的效率有所下降，在次提出了一个考虑算法质量的前提下的快速算法。(regardless of the coding for images or decoding, cubic spline algorithm performance are good, and then because of the comparison calculation of the efficiency Ambassador he declined, in a meeting of the algorithm to consider the quality of the fast algorithm.)

对两幅图像进行配准，分别提取两幅图像的surf特征点以及描述子，得到粗匹配结果，然后根据粗匹配结果，采用ransac方法计算基础矩阵，并去除误匹配点，得到较准确匹配结果(Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descriptor, then according to the results, the coarse matching results, using RANSAC method to calculate the fundamental matrix, and eliminate the error matching, gain a more accurate matching results)

说明：  特征选择算法，防止分类结果出现过拟合，提前对多维的特征向量进行选择筛选(A feature selection algorithm)

在mmatlab中将多波段的遥感图像（三维矩阵数据）转换成二维数据，与求邻域(convert the 3D image data into the 2D data in the matlab)