paper3

使用matlab分析传统光学系统加入三次相位掩模板之后对中间像进行图像复原(Analysis using matlab conventional optical system after adding three phase mask image on the intermediate image restoration)

ostu二值化算法vc实现，基于MIL图像处理软件包将图像解析，通过ostu求取二值化阈值，实现二值化算法(ostu binarization algorithm to achieve vc, MIL image processing software package based on the image resolution, strike through ostu binarization threshold binarization algorithm to achieve)

利用otsu算法实现图片的自动多阈值分割；用matlab编写的自动多阈值分割程序，分割图像之前采用自动平滑图像(Using otsu algorithm to realize multi- threshold segmentation of pictures)

区域生长法进行图像分割，通过选取合适的种子点，将感兴趣区域分割出来。(The region growing method is used for image segmentation, and the region of interest is segmented by selecting appropriate seed points.)

说明：  K近邻(KNN)平滑滤波器算法，包括椒盐噪声和高斯白噪声下平滑处理的结果(K-Near Neighbor (KNN) Smoothing Filter Algorithms, Including Smoothing Processing Results under Salt and Pepper Noise and Gauss White Noise)

说明：  本文以k-means算法为背景，引入信息熵相关知识，从而实现全自动分割图像。然而在利用混合高斯模型对图像进行数据分析时，会发生一定的过拟合现象，导致我们得不到预期的聚类数目。本文设计合理的合并准则，令模型简化，有效地消除过拟合现象，使得最后得到的聚类数目与预期符合。，设计合理的准则改进了图像的全自动分割方法，使得分割结果更加优化(In this paper, k-means algorithm is used as the background, and information entropy related knowledge is introduced to realize full-automatic image segmentation. However, when the Gaussian mixture model is used to analyze the image data, there will be some over-fitting phenomenon, resulting in that we cannot get the expected number of clusters. In this paper, a reasonable merging criterion is designed to simplify the model and effectively eliminate the over-fitting phenomenon, so that the final clustering number is in line with the expectation. A reasonable criterion is designed to improve the automatic image segmentation method and make the segmentation result more optimized.)

图像颜色一阶矩、二阶矩、三阶矩特征抽取。不带图像分块。(Image color first moment, second moment and three moments features)

根据高程点，绘制等高线的matlab小程序。(According elevation points, draw contour lines matlab applet.)

基于蚁群算法的边缘检测,能够准确定位图像的细节和边缘，清晰的再现图像的轮廓(An Ant Colony Optimization Algorithm For Image Edge，could position the edge of image pricisely .)

cvi图像设计替换背景 扣图专用代码 毕业设计可用(cvi replace the background of graphic design graduate design buckle Figure specific code available)