MSE

说明：  对图像的傅里叶变换图像进行径向和角向频谱统计(Statistics of radial and angular spectrum of Fourier transform image)

基于FPGA开发的均值滤波程序，效率很高，非常有用(Based on FPGA development of the mean filter program)

使用IDL编程来实现打开BMP，TIFF，IMG，JPEG，PNG和其他图像，实现缩放，缩放，平移，图像增强，平滑，边缘检测(Using IDL programming bmp, tiff, img, jpeg, png and other images to achieve open and zoom in, zoom, pan, image enhancement, smoothing, edge detection)

时移相位差校正法，通过时移，进行前后两次FFT分析，利用离散频谱对应峰值谱线的相位差以求出频率和相位校正量。(Phase difference correcting method by time-shifting. Make two FFT analysis before and after the time-shifting,and make use of the phase difference of the peak spectral lines to get frequency and phase correction amount.)

通过相机标定工具箱得到相机的内参等信息对多幅图像进行三维重建。再贴上纹理。(Camera Calibration Toolbox has been through the camera' s internal information on the number of three-dimensional image reconstruction. Then paste texture.)

说明：  一维高斯粗糙面、三维高斯粗糙面的建模，基尔霍夫近似法求散射系数(Modeling of one-dimensional Gaussian rough surface and three-dimensional Gaussian rough surface, and Kirchhoff approximation method to calculate scattering coefficient)

说明：  Harris角点检测，关于角点的应用在图像处理上比较广泛，如图像匹配(FPM特征点匹配)、相机标定等。网上也有很多博客对Harris角点检测原理进行描述，但基本上只是描述了算法流程，而其中相关细节并未作出解释，这里我想对有些地方做出补充说明，正所谓知其然知其所以然，如有不对，还望指正。(Harris corner detection)

离散分数阶傅立叶变换，算法参考 C. Candan, M.A. Kutay, and H.M. Ozaktas. The discrete Fractional Fourier Transform. IEEE Trans. Sig. Proc., 48:1329--1337, 2000 (Discrete fractional Fourier transform algorithm reference C. Candan, MA Kutay, and HM Ozaktas. The discrete Fractional Fourier Transform. IEEE Trans. Sig. Proc., 48:1329- 1337, 2000)

Abstract—Noninvasive ultrasound imaging of carotid plaques allows for the development of plaque-image analysis methods associated with the risk of stroke. This paper presents several plaqueimage analysis methods that have been developed over the past years. The paper begins with a review of clinical methods for visual classification that have led to standardized methods for image acquisition, describes methods for image segmentation and denoizing, and provides an overview of the several texture-feature extraction and classification methods that have been applied. We provide a summary of emerging trends in 3-D imaging methods and plaque-motion analysis. Finally, we provide a discussion of the emerging trends and future directions in our concluding remarks.

说明：  计算两个离散变量x和y的联合熵z = H（x，y）。 输入：x，y：两个相同长度的整数向量输出：z：联合熵 可以使用，有利于学习目的(Compute joint entropy z=H(x,y) of two discrete variables x and y. Input: of x, y: two integer vector of the same length Output: z: joint entropy good for learning purposes)