geo_feature_image

这个实例就像一个魔镜一样，能把原始图像照出各种变换效果,是基于MFC的多文档应用程序(This example is like a mirror,which can convert original image according to a variety of effects)

说明：  快速的人脸特征提取算法KPCA，比普通的pca特征提取算法在效率上好了不少(Fast facial feature extraction algorithm KPCA, than ordinary PCA feature extraction algorithm in the efficiency of a good many)

林健写的Matlab在图像处理与目标识别方面的应用实验，包括染色体识别与统计、汽车牌照定位与字符识别、基于BP神经网络识别字符的简单实验。 (Lam Kin Writing at the Matlab image processing and target recognition application experiments, including chromosome identification and statistics, vehicle license positioning and character recognition, based on BP neural network easy to identify characters in the experiment.)

对于读入的彩色图像在rgb和hsv域中进行均衡，并显示比较均衡效果(To read the color image in rgb and hsv domain balanced and shows the effect of a more balanced)

asift的matlab和c程序都在里面 大家慢慢研究吧 很好的程序(asift the matlab and c procedures are on the inside we study it slowly very good program)

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)

用于图像拷贝检测的图像匹配，提取图像的SIFT特征点，构成图像的特征。(For image copy detection of image matching, image SIFT feature point extraction, and then sift feature point the image characteristics)

实现dicom图像的窗宽窗位调节和边缘提取(Window width adjustment and edge extraction of DICOM image)

用霍夫曼方法检测圆，直线！其中更包含了圆的自动生成！(Hoffman method using a round, a straight line! One more round included automatically!)

显示BMP图片，并绘制直方图。程序无误，可运行。(Display BMP image, and draw the histogram. Program is correct, you can run.)