Otsu

用MATLAB实现不规则图像的面积测量，采用像素灰度值的占比进行实现(Area Measurement of Irregular Images Using MATLAB)

本文是中值滤波的一些应用，个人觉得中值滤波比一些算子滤波效果要好得多(This article is median filtering applications, personal feel median filter is much better than some of the filtering effect of the operator)

说明：  求lena图像的信息熵，图像大小为256X256(For lena image information entropy, image size is 256x256)

说明：  实现车道线检测，运用Hough变换的原理(For the process of lane line detection, this paper first searches for the edge points of the lane line, mainly including image graying, image filtering, image edge enhancement and image binarization. Then the lane line edge line is fitted. This paper uses the Hough transform to perform a straight line fitting.)

出自较新的国际会议论文的图像去噪算法实现。对自然图像的去噪非常有效，即可以自己实际使用，也可以进一步研究学习。(From a relatively new international conference papers realize the image denoising algorithm. Denoising of natural images are very effective, that is their actual use, can also further study.)

可以将连续图片转换成视频文件，值得参考学习(Convert a continuous image into a video file)

FDK算法 重建三维图像，期中有GPU并行计算加速fdk算法的实例(back-projection to RECONSTRUCT 3D IMAGE)

这是人脸识别，用MATLAB实现，非常好的东东哦(This is the face recognition, MATLAB, very good Eastern oh)

说明：  dctcom.m文件利用DCT变换完成对输入图像进行压缩；imagecbe.m完成对输入的两幅RGB图像用小波分析的方法进行图像融合 imagecom.m完成对输入的RGB图像用小波分析的方法进行自动降噪，得到高频系数阈值，降噪效果百分比和结果 wavelet1D.m完成对输入的一维信号进行多尺度离散小波分解 wavelet2D完成对输入的二维信号进行多尺度离散小波分解；zigzag.m完成对输入的8*8矩阵按照zigzag排列抽取数据.(document the use of DCT transform dctcom.m completion of the input image compression imagecbe.m completion of the two RGB input image with wavelet analysis method of image fusion imagecom.m completion of the input RGB image using wavelet analysis method automatically drop noise, the threshold of high-frequency coefficient, noise reduction effect and the results of the percentage of wavelet1D.m completion of the input signals of one-dimensional discrete wavelet multi-scale decomposition wavelet2D completion of the input signals of two-dimensional discrete wavelet multi-scale decomposition zigzag.m completed the input of 8* 8 matrix of data collected in accordance with the zigzag order.)

RANSAC算法是一种经典的去外点方法，它可以利用特征点集的内在约束关系来去除错误的匹配。(RANSAC algorithm is a classic way to go outside the points, it can take advantage of the inherent characteristics of point sets constraints to remove false matches. )