level-set

增量直线拟合(incremental line fitting)算法描述多个物体(Incremental line fitting (incremental line fitting) algorithm for multiple objects described)

说明：  利用稀疏矩阵思想进行图像的超分辨率重建，效果较好。(Thinking of using sparse matrix for image super-resolution reconstruction, the effect is better.)

图像分割是把图像划分成具有实际意义的互补交迭的区域的集合。在图像分割之前，图像区域的数目未知，而在分割后各个区域同时满足均匀性和连通性的条件，故图像分割是一个复杂的过程，目前大多数研究都是针对某一类型图像或者某一具体应用的分割。图像阈值化分割的基本思想是确定一个阈值，然后把每个像素点的像素值和阈值相比较，根据比较的结果把像素划分为两类，前景(1)或背景(0)。该方法的关键是确定一个最优的阈值。常用的阈值确定方法有直接门限法、类间最大方差法(otsu法)、分水岭算法、最小误差法、最大熵法等。该段代码就是图像的阈值分割。(The image segmentation is divided into the practical significance of the emerging area of complementary set. In the image segmentation, before the number of image region, the unknown, and after each area in division at the same time satisfy the uniformity and connectivity condition, so the image segmentation is a complicated process now, most research are for a certain type image or a particular application of the division. Image threshold segmentation of the basic idea is to determine a threshold, then put each pixel threshold value of the pixels and compared, according to the result of the comparison the pixel divided into two categories, the prospect (1) or background (0). This method is the key to determine an optimal threshold. Commonly used method to determine the threshold value of direct threshold method, the largest of the variance between method (otsu method), watershed algorithm, the minimum error method, the maximum entropy method, etc. When the code is image threshold segm)

基于MATLAB光学三维重构中的四步相移算法。( U57FA u4E8EMATLAB u5149 u5B66 u4E09 u7EF4 u91CD u6784 u4E2D u7684 u56DB u6B65 u76F8 u79FB u7B97 u6CD5 u3002)

线性插值射线追踪法，设置模型为一三层模型，范围100m×100m(Linear interpolation ray tracing method, set the model for a three-tier model, the range 100m100m)

利用克隆选择和粒子群算法实现图像分割 有很好的分割效果。经过多次验证实践。(Clonal selection and particle swarm algorithm has a good image segmentation segmentation. After several rounds of verification practice.)

求解图像的穆勒矩阵及其极分解矩阵，还有矩阵分析参数(Muller matrix and polar factorization matrix for solving image)

文章讲诉的是小波在信号处理方面的应用，包括奇异点的检测，信号降噪等，有很全的原理介绍，有仿真程序和结论分析，具有一定的学习价值(V. article stresses that the wavelets in signal processing applications, including the singular point detection, signal noise, etc., have very wide introduction of the principle, procedure and conclusions have simulation analysis, has some learning value)

解决一些图像处理的小问题，具体的划分和问题，文件里有提到(Solve some small problems in image processing)

ENVI制作散点图可以更改背景颜色 可以显示出R方比以前版本更精细(ENVI make a scatter plot can change the background color can show the R side finer than the previous version)