junhengzengqiangsufan

路标识别的应用实例，可以快捷的检测并识别路标的种类！(Road sign recognition application example, you can quickly test and identify the types of signs!)

分形图像压缩 效果好 但是运行时间长 需要改进(Fractal image compression effective running a long time but need to improve)

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：  用matlab编写界面，并实现图像的方向滤波和同态滤波，实用方便，效果较好(Matlab prepared to use interface, and the realization of the direction of image filtering and homomorphic filtering, practical convenience, better)

SUN：利用自然统计的显著性贝叶斯检测框架。一种自底向上的检测图像的显著性区域方法。(SUN: A Bayesian Framework for Saliency Using Natural Statistics)

窗口置外形图片的应用--数码时钟，易语言写的图形图像编程，很好的参考。(Window profile picture-- Application of digital clock, easy graphic language programming, a good reference.)

利用MATLAB处理图形图像，求曲线的曲率(Using MATLAB processing graphics demand curve curvature)

说明：  SIFT用于图像全景拼接的源码，内附算法描述，很好用。(SIFT source code for image panorama stitching, containing algorithm descriptions, easy to use.)

应用到了操作系统界面功能支持库和图像格式转换支持库，在截取窗口位置时调用了API函数，大家做屏幕截图时可以参考下本例程中的代码。(Applied to the operating system interface features support libraries and image format conversion support library , in the interception of the window position API function calls , you can refer to the code in this routine when we do screenshots .)

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)