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按照C语言程序实现对128x128像素点、256灰度等级灰度图像的灰度直方图显示(In accordance with the C language program to 128x128 pixels, 256 gray scale histogram display grayscale images)

利用位图图像中的冗余数据位，将小文件嵌入到大的图像文件中，并保持原图像不变。(The use of bitmap images in the redundant data bit will be embedded in small files to large image files, and to maintain the original image unchanged.)

自编图像处理M文件，经过图像增强滤波去噪二值化，边缘提取，实现对图片内物体的生产标准监测(Self image processing M-file, and after image enhancement filter denoising binarization, edge extraction, the production of objects within the picture of standard monitoring)

说明：  ldpc码在数字水印方面的研究，可加强对ldpc码的理解(the research about ldpc applied digital watermark,it can decrease ber and improve robutness)

实现手机拍摄图像的二维码图像的提取，包括QR码的旋转与校正，也可以用于其他条码，但是效果不是很好(The realization of mobile dimensional code image captured image extraction, rotation and including a QR code correction can also be used for other bar code, but the effect is not very good)

该程序实现了相位编组法检测，可以将灰度缓慢变化的边缘提取出来(Realize the process of phase formation assay can be gray-scale changes in the edge of the slow extracted)

Latent SVM算法实现行人检测opencv(Latent SVM Pedestrian Detection Based on Algorithms opencv)

图相多描述编码matlab仿真 多描述编码的matlab仿真，本科生的毕业设计 生成图像后计算psnr >> J=imread( 两描述都收到后重建的图像.bmp ) PSNR(I,J) ans = 32.3290 >> J=imread( 描述1重建后的图像.bmp ) >> PSNR(I,J) ans = 28.7011 >> J=imread( 描述2重建后的图像.bmp ) >> PSNR(I,J) ans = 29.1467 (Figure phase multiple description coding matlab simulation Matlab simulation of multiple description coding, undergraduate graduation design Generated images calculated psnr >> J = imread ( the reconstructed image after the two descriptions are received. Bmp ) >> PSNR (I, J) ans = 32.3290 >> J = imread ( to describe a reconstruction of images. Bmp ) >> PSNR (I, J) ans = 28.7011 >> J = imread ( to describe two reconstruction images. Bmp ) >> PSNR (I, J) ans = 29.1467)

说明：  小波阈值去噪。对灰度图像和二值图像进行滤波。(Wavelet thresholding filter . Denoiseing for the gray image and binary image .)

说明：  计算视频或者图像中相邻两帧的光流场。 本光流场算法使用是 多项式展开的方法 配置好视频的路径之后，直接运行就可以了。(Calculation of video or image of two adjacent optical flow field. The optical flow algorithm using the polynomial method is a good video of the path configuration, the direct operation of it.)