fusionmesure

说明：  该代码是图像处理中块匹配的全搜索算法，是用来估计和计算运动矢量的。(The image processing code is the full search block matching algorithm is used to estimate and calculate the motion vector.)

根据国外文献算法中所写的MATLAB代码，实现肤色检测与轮廓提取。(According to foreign literature written in MATLAB code algorithm to achieve skin color detection and contour extraction.)

基于分水岭的迭代式分割算法演示，基于matlab7.6，可有效并且准确的分割目标图像(A demo for image segmentation using iterative watersheding plus ridge detection)

基于局部能量与模糊逻辑的红外偏振图像融合，该文与小波包，支持向量机等融合算法进行对比分析，说明该文算法的优势。(Infrared polarization image fusion based on local energy and fuzzy logic, this paper, wavelet packet, support vector machines and other fusion algorithm comparison analysis to illustrate the advantages of the proposed algorithm.)

颜色特征提取，提取空间为HSV颜色空间，颜色特征提取，提取空间为HSV颜色空间(color extraction)

说明：  遥感图像运用6S工具来进行大气辐射校正处理(Atmospheric Radiation Correction Processing Using 6S Tool for Remote Sensing Images)

灰度图生成程序 可以生成BMP/JPG格式的灰度图 大家可以随便使用下载(Grayscale generator can generate BMP/JPG format, you can easily use the download grayscale)

模式识别相关技术，EM算法简介，EM算法是关于半监督学习的一种技术(Pattern recognition technology, EM algorithm About, EM algorithm is on a semi-supervised learning techniques)

本科毕设要求参见标准测试模型，均值便宜跟踪的示例，利用最小二乘算法实现对三维平面的拟合。( Undergraduate complete set requirements refer to the standard test models, Example tracking mean cheap, Least-squares algorithm to fit a three-dimensional plane.)

编程实现二维8*8图像块的DFT，DCT变换 输入一副RGB图像，将其转化为YCbCr颜色空间，然后对Y分量做分块DFT变换，保存为灰度图像，统计计算时间 编程实现8*8块DCT变换,然后分别显示，当使用64个DCT系数里面的一些系数进行重构，比较其质量；同时熟悉采用FFT来实现DCT变换的思想，并显示2维8*8DCT变换的基函数图像(Programming the DFT, DCT transform of two dimensional 8*8 image block Input a pair of RGB images, transform it into YCbCr color space, then divide the Y component into block DFT transform, save as gray image, and calculate the calculation time The 8*8 block DCT transform is implemented by programming, and then it is shown that when using some coefficients in 64 DCT coefficients, the quality is reconstructed. Meanwhile, the idea of DCT transformation is familiar with FFT, and the base function image of the 2 dimensional 8*8DCT transform is displayed.)