hm2_2

用于将视频文件转换成帧图像、帧图像转换为mat语言等(Converts a video file to a frame image, then converts it into a number matrix and the inverse process)

本程序实现了对指纹图像的预处理、特征提取，效果很好，有图有程序，可以直接使用。(This procedure to achieve the fingerprint image preprocessing, feature extraction, the effect is very good, there are plans to have procedures can be used directly.)

方向梯度直方图的全部代码，广泛应用于行人检测行人检测(Histogram of Oriented Gradients code Pedestrian Detection)

说明：  用最大相似性方法实现独立分量分析算法的matlab代码，可用于盲信号处理和图像滤波器构造。(with the greatest similarity method independent component analysis algorithm Matlab code can be used to blind signal processing and image filter structure.)

这是我和我的朋友们总结的立体视觉匹配算法的教学ppt，希望有用(This is me and my friends summed teaching ppt stereo matching algorithm, hope useful)

说明：  图形处理功能，有滤波功能，边缘提取等各个方面，值得一看(Graphics processing capabilities, has filtering, edge detection and other aspects, see)

（1）计算图像中每个像素点的LBP模式(等价模式,或者旋转不变+等价模式)。 （2）然后计算每个cell的LBP特征值直方图，然后对该直方图进行归一化处理(每个cell中，对于每个bin,h[i]/=sum,sum就是一副图像中所有等价类的个数)。 （3）最后将得到的每个cell的统计直方图进行连接成为一个特征向量，也就是整幅图的LBP纹理特征向量； 然后便可利用SVM或者其他机器学习算法进行分类识别了。((1) calculate the LBP pattern of each pixel in the image (equivalent mode, or rotation invariant + equivalent mode). (2) then the LBP eigenvalue histogram of each cell is calculated, and then the histogram is normalized (for each cell, for each bin, h[i]/=sum, sum is the number of all the equivalent classes in a pair of images). (3) finally, the statistical histogram of each cell is connected into a feature vector, that is, the LBP texture feature vector of the whole picture. Then, SVM or other machine learning algorithms can be used for classification and recognition.)

C# 浏览大图片 例子源码

对图像进行二维离散小波变换, 变换级数大于等于3级,然后进行阈值化处理(阈值约为10左右),再统计系数中0的个数（百分比表示）并进行重构, 最后计算重构图像的峰值信噪比(PSNR). (Two-dimensional discrete wavelet transform image transformed series is greater than or equal to 3, and then processing thresholding (threshold of about 10 or so), then statistical coefficient in the number (expressed as a percentage) and to reconstruct the final calculation reconstructed image of the peak signal-to-noise ratio (PSNR).)

说明：  大二课程，用语言编写图像处理操作，运行时仔细体会算法(In the sophomore year, the image processing operation is written in the language, and the algorithm is realized carefully when running)