Color-Based-Segmentation

实现图像的超分辨率算法，采用最大后验（MAP）算法，实现效果不错。(Image super-resolution algorithm using maximum a posteriori (MAP) algorithm, to achieve good results.)

斑点抑制各向异性扩散滤波（SRAD）算法 的中文论文(Speckle suppression anisotropic diffusion filter (SRAD) algorithm)

改进的剪切波变换，用于图像处理，分解层数多，运行速度快(Improved shear wave transform for image processing, decomposition of many layers, fast running speed)

一个很好类子来说明类模板的使用，可以比较明了类模板的使用方法，最好进行单步调试(use of class template )

对SAR图像分割 用马尔科夫随机长进行的。可以任意输入类别数目(For SAR image segmentation using Markov old airport)

螺旋轨迹重建的一种实现方法，是解析算法的典型案例(An implementation method of spiral trajectory reconstruction is an analytical algorithm)

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)

说明：  SSR单尺度图像增强 MSR多尺度Retinex图像增强模型(MSR Multiscale Retinex Image Enhancement Model)

数字图像处理，对彩色图像的拉普拉斯算子锐化以及梯度算子锐化的比较，VC/MFC实现。(Digital image processing, color image of the Laplacian and the gradient operator sharpening sharpening comparison, VC/MFC implementation.)

抽取子图像: 通过一个随机混沌标签序列从原图像中抽取 对子图像加密:小波变换 ,在高频部分加密 重构原图，把加密好的子图像重新放回到原图像中 (from sub-images : a random chaotic sequence label from the original image from a tradition image encryption : wavelet transform, the high-frequency part of remodeling the maximum encryption, encrypted good son to re-up images back to the original image)