CO_SUT

网格简化， 将复杂的带有很多细节的物体的三维立体网格进行任意比例的简化，使得其减少点和面片的数量并保持物体的基本特征，以达到加快图像显示及压缩文件的效果。(Mesh simplification, the complex three-dimensional grid with many of the details of the object simplified in any proportion, such that it reduce the number of points and surfaces of the sheet and keep the basic characteristics of the object, in order to achieve the speed up of the image display and the effect of the compressed file .)

包含代码：利用BP网络进行图像的主成分分析、BP网络的图像分类应用、数据预处理(Principal component analysis of images using BP network)

为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选 取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新 拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表 明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)

基于分水岭自动选取种子的区域生长来进行彩色图像分割(Automatically selected based on the watershed to the seed region growing for color image segmentation)

人体脑图像分割技术研究a. 对原始的二维医学图像进行滤波，封装成三维体数据。 b. 采用合适的多阈值分割方法得到合适的双阈值，对三维体数据进行二值处理，得到分割出的三维人脑图像。 c. 对得到的三维人脑二值图像进行数学形态学操作，并利用种子填充进行区域修整，得到较好的三维人脑分割结果，并给以三维显示。 (err)

说明：  这是一个比较实用的ADBOOST算法的源代码，它是比较准确，希望大家喜欢。(This is a more practical algorithm ADBOOST source code, it is more accurate, I hope you like.)

BSCB数字图像修复算法，用matlab编写，可以直接运行(BSCB digital image restoration algorithm, using matlab prepared, can be directly run)

通过sift特征提取实现两幅图片无缝拼接(Seamless splicing of two images by SIFT feature extraction)

说明：  基于压缩传感的图像处理，其中运用了迭代的方法，不错的文章(Based on compressed sensing image processing, which used the iterative approach, a good article)

锥束CT（CBCT）的三维重构算法（FDK）(the FDK algorithm for cone beam CT reconstruction)