digital-image-homework.doc

对采样得到的180幅断层图像进行重建，并针对其中的一幅图像进行处理，并且统计图像中颗粒的大小和数目！(Tomographic images of 180 samples obtained were rebuilt, and for which an image processing and image size and number of particles statistics!)

harrisconer角点检测，提取焊缝的角点位置信息，进行焊缝的特征识别(harrisconer extractionfeature extraction.The position information of the corner point of the weld is extracted and the characteristics of the weld are identified)

基于FFT的配准程序，用在图像配准中的粗匹配中，对噪声、图像中物体发生运动等极为鲁棒！ (FFT-based registration procedure, used in image registration in the coarse matching, noise, motion and other image objects occur very robust!)

说明：  利用IDL语言编写程序 计算差值植被指数，包括波段的读取，波段数据的分块和指数计算(Using IDL language program to calculate the difference vegetation index, including the band read the sub-band data block and index calculation)

在统计学中，皮尔逊积矩相关系数（英语：Pearson product-moment correlation coefficient，又称作 PPMCC或PCCs[1], 文章中常用r或Pearson s r表示）用于度量两个变量X和Y之间的相关（线性相关），其值介于-1与1之间。在自然科学领域中，该系数广泛用于度量两个变量之间的相关程度。它是由卡尔·皮尔逊从弗朗西斯·高尔顿在19世纪80年代提出的一个相似却又稍有不同的想法演变而来的。这个相关系数也称作“皮尔森相关系数r”。(In statistics, Pearson product-moment correlation coefficient (English: Pearson product-moment correlation coefficient, also known PPMCC or PCCs [1], the article used or Pearson s r r representation) is a measure of the two variables X and Y between correlation (linear correlation), a value between-1 and 1. In the natural sciences, the coefficient is widely used to measure the degree of correlation between the two variables. It is made a similar Karl Pearson Francis Galton in the 1880s but made a slightly different idea evolved. The correlation coefficient is also called Pearson s correlation coefficient r .)

张正友标定法,标定图像，将图像进行校正，是当今用的最多的方式方法(This method is so good, I have transferred through this. And it is very useful for the IT workers. This is my first code. Thank you every one.)

C++ code implementing the estimation of errors-in-variables models under point dependent noise. It includes examples for linear, ellipse, fundamental matrix and trifocal tensor estimation. The theory is described in A general method for errors-in-variables problems in computer vision(err)

基于多尺度超像素的显著性检测代码和文章(Saliency Detection with Multi-Scale Superpixels)

matlab环境下，基于脉冲耦合神经网络（pcnn）的图像分割技术。(matlab environment, based on pulse coupled neural network (pcnn) Segmentation.)

用于EEG脑部图像网络绘制的matlab程序包(Matlab package for EEG brain image network rendering)