weicaise

说明：  基于matlab的中值滤波算法，对图像进行去噪处理(median filtering algorithm based on matlab)

说明：  最二小乘影像匹配，精度可以达到0.01个像素，也可以最二小乘影像模板匹配。经过修改后可以直接用，只要调用一个函数就搞定，函数参数的说明很清楚，绝对不会有任何困难，非常好用。(Most two Theravada image matching accuracy can reach 0.01 pixel images can also be the most two Theravada template matching. After modifications can be directly used, as long as is you call a function, function parameters, the description is clear and will not have any difficulties, very easy to use.)

基于SUFT的特征提取与匹配，内涵详细的文档说明，很好的实现了特征提取与匹配，该方法较基本的SIFT有很大的提高(Extraction and matching of features based on SUFT, detailed content of the documentation, very good realization of the feature extraction and matching, SIFT the method is basic is greatly improved)

有关图像融合的一个比较全的代码集合，有gui界面，可选择不同的处理图像方法融合图像(the image of a more integrated whole code set, a gui interface choice of different methods of image processing Image Fusion)

某个平面内的一系列点的密度分布，通过求出x和y方向的点的概率，最后用矩形框画出密度大的区域。4000个数据，详解，效果不错，直接能运行。(The density distribution of a series of points in the plane, determined by the probability of the point x and y directions, the final draw-density region with a large rectangular box. 4000 data, explain, good results can be directly run.)

说明：  结合模糊C均值聚类算法与水平集方法的图像分割代码，分割效果良好。(The image segmentation code based on fuzzy c-means clustering algorithm and level set method has a good segmentation effect.)

利用MATLAB实现了视频图像行人识别与检测，(Using MATLAB to achieve video image pedestrian recognition and detection,)

使用kmeans算法对图像进行分割，先对图像进行了rgb到lab的转换(Use kmeans algorithm for image segmentation, the first image of rgb to lab conversion)

说明：  使用了色调映射算法，调整图片的灰度，更好表达原图里的信息与特征。(The hue mapping algorithm is used to adjust the gray level of the image and better express the information and features in the original image.)

对图中微流道各个形状模块进行分割，并计算了微流道的宽度，还有入射光钎到接受光纤的距离。(The specific module is divided and the length and width are calculated.)