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简易二值化演示易语言源码，例程程序使用嵌套循环改变画板颜色演示了图像二值化的简单过程。(Simple binary demonstrate easy language source code , a routine procedure uses nested loop Sketchpad color change demonstrates the binary image of a simple process .)

基于角点特征的图像匹配的几个代码~~较为详细~~~(Corner Feature-based image matching of several more detailed code ~ ~ ~ ~ ~)

全套的DCT域数字水印源代码matlab(A full set of digital watermarking of DCT-domain source code matlab)

关于脊波变换的图像分割源码，运行良好，测试可行，绝对超值(Ridgelet transform for image segmentation source code, run the test feasible, the absolute value)

说明：  光流计算得到运动场。使用算法为Lucas Kanade算法。(optical flow calculated Sports Ground. Lucas uses algorithms to Kanade algorithm.)

图像检测的算法，Faster R-CNN算法，先对整张图像进行卷积计算，然后通过感兴趣区域池化层(RoI Pooling Layer)将选择性搜索算法推荐出来的候选区域和卷积网络计算出的特征映射图进行融合，得到候选区域对应的特征矢量，这种共享卷积计算的操作极大地减少了卷积计算的次数。而且这些特征矢量的维度统一，方便后续的分类工作。通过感兴趣区域池化层处理卷积特征，并将得到的特征送往两个并行计算任务进行训练，分类和定位回归。通过这些方法和改进的框架，Fast R-CNN 用更短的训练和测试时长，取得了比 R-CNN 更好的效果(Faster R-CNN algorithm first convolutes the whole image, then fuses the candidate regions recommended by the selective search algorithm and the feature mapping maps calculated by the convolution network through the RoI Pooling Layer to get the corresponding feature vectors of the candidate regions, which greatly reduces the number of convolution calculations. Moreover, the dimension of these feature vectors is unified, which facilitates the subsequent classification work. The convolution feature is processed by the pooling layer of the region of interest, and the obtained feature is sent to two parallel computing tasks for training, classification and positioning regression. Through these methods and improved framework, Fast R-CNN uses shorter training and testing time and achieves better results than R-CNN.)

GML_RANSAC_Matlab_Toolbox_0[1].2--RANSAC算法及其各种改进算法，以及仿真结果分析－－只是分析(GML_RANSAC_Matlab_Toolbox_0 [1] .2 RANSAC algorithm and its improved algorithm, as well as analysis of simulation results- only analysis)

说明：  一個包含完整繪製 CIE Chromaticity Diagrams 的程式, 包含支援 CIE Standard Observer, Color Mstching Functions, 及 CIE 1931, CIE 1960, CIE 1976 等格式.(contains a complete CIE PLL Diagrams mapping programs, including support CIE Standard Observer, Color Mstching Functions, and the CIE 1931, the CIE 1960, the CIE 1976 formats.)

图片极坐标转换,可实现极坐标转换，以及求傅里叶变换(Picture polar coordinate conversion, convert polar coordinates can be realized, as well as seeking the Fourier transform)

实现上海地铁一天可视化链接,你可以通过processing的程序看到一天的变化，都在里面了(you can see the change of shanghai railway all day long)