guiyihua

光学车间加工，很好很强大的一本书。里面有不少值得学习的东西。(Optical shop testing)

遥感影像分类的matlab实现（源码+图像）。以及分类后评价（总体精度、Kappa系数、混淆矩阵）。(Remote Sensing Image Classification of matlab implementation (source code+ images). After the evaluation and classification (overall accuracy, Kappa coefficient, confusion matrix).)

实现“动态”的位图动画，VC++经典编程学习源码，很好的参考资料。(The realization of "dynamic" bitmap animation, VC++ classic learning programming source code, a good reference.)

本文献讲述了使用多维的结构张量进行基于分水岭的图像增强和去噪方法(The literature describes the use of multi-dimensional structure of tensor-based watershed image enhancement and denoising)

基于RANSAC算法的图像匹配过程，包括提出该算法的文章以及文章中所提到的所有程序代码，可以实现具有高度异常点的图像匹配过程。(RANSAC algorithm based on image matching process, including all the program code of the algorithm proposed article and the article mentioned, the image matching process can be achieved with a high degree of abnormal points.)

小波处理，滤波，复原，融合等VC源代码.(Wavelet processing, filtering, recovery, integration VC source code.)

量化离散余弦变换系数的程序实现及其效果的检测。过程中使用了8x8的分块方法。首先计算每块的离散余弦变换（DCT)；然后量化了DCT的系数； 最后进行了反离散余弦变换(iDCT). 程序中还可以设定缩放系数。(Quantify the discrete cosine transform coefficients procedure and its effect detection. The process used in the 8x8 sub-block method. First calculate the block discrete cosine transform (DCT), quantization of the DCT coefficient Finally, the inverse discrete cosine transform (iDCT) program can also set the scaling factor.)

说明：  用于图像滤波除噪的频域低通滤波函数，使用MATLAB编程实现(Frequency domain low-pass filtering function for image filtering and de-noising, using MATLAB programming)

对火焰图像进行二值化 边缘检测 链码提取 并计算火焰图像的面积和周长 绝对好用！(Binarization flame image edge detection chain code extraction and absolutely easy to calculate the area and perimeter of the flame image!)

一个交互式程序，利用Hough变换检测圆。允许人工选择圆半径。(An interactive process, the use of Hough transform circle detection. Permit artificial selection radius.)