Lee

基于贝叶斯最小错误率算法的崇明岛遥感图像分类程序。并且有饼状图显示各类地物比例(Minimum error rate based on Bayesian algorithm for Chongming Island, the remote sensing image classification procedures. And the pie chart below shows the proportion of various types of features)

处理计算机视觉中图像分析的图像轮廓检测和分层图像分割问题(Image processing computer vision analysis of image contour detection and hierarchical image segmentation)

图像交互是分割 graph cut,实现交互式分割，并且可以连续分割(Interactive image is split graph cut, to achieve interactive segmentation, and can be continuously split)

很有用的gdal库，并且已经编译好。请多多指教!(It is a very good resource！Please download！！)

说明：  车牌识别程序，完美识别读取车牌号，配解析ppt。(License plate recognition program, perfect recognition and reading of license plate number, with analysis of PPT.)

计算机图形学图像处理学习内容，附带PPT教程里面的代码。(the ppt for Digital Image)

本程序用量子行为的粒子群算法训练支持向量机，并用IRIS数据验证了该方法的有效性(This procedure acts with quantum particle swarm optimization training support vector machines, and IRIS data to verify the effectiveness of the method)

用matlab做的基于小波降噪和自适应滤波的程序，已经调试可以使用。(Program based on wavelet noise reduction and adaptive filtering using matlab, debugging can use.)

本程序是基于web图像的超分辨率重建，借鉴参考了其他人的算法(This procedure is based on the super image resolution of web image reconstruction, reference to other people s algorithm)

针对同一场景可见光与红外图像的融合问题,提出了一种新的多尺度对比度塔图像融合方法. 该方法 利用对比度金字塔数据结构得到图像的多分辨序列,采用基于视觉特性的融合算子在图像的相应各级上融 合源图像的细节,再通过金字塔逆变换重构出最终融合图像. 这种图像处理方法具自适应性,不随各自输入 图像的灰度特性而改变,同时增强了融合图像的对比度,产生了较好的视觉处理效果.(for the same scene of visible and infrared images of integration, proposed a new multi-scale tower contrast images. The use of contrast pyramid data structure Image multiresolution sequence, based on visual characteristics of the integration operator of the image corresponding levels of integration details of the source image, through the inverse pyramid transform eventually fused images. This image processing method has adaptability without their input image with the gray characteristics change, while enhancing the integration of the contrast of the image. have a better visual effect.)