Harris2

图像的中值滤波源码例程程序结合易语言数值计算支持库和图像格式转换支持库，调用正态分布图像处理模块实现图像的中值滤波功能。(Image median filtering routine program combined with easy language source numerical support libraries and image format conversion support library , call the normal image processing module median filtering images.)

彩色车牌的一种新的阈值分割算法的实现,可以参考实现其他型状的彩色分割 (color plates of a new threshold segmentation algorithm achieved, we can make reference to the achievement of other shapes color segmentation)

说明：  计算图像峰值信号比，比较边缘检测图像的质量(Calculate the image peak signal ratio and compare the quality of edge detection)

粒子滤波算法的实现，其中重采样采用残差重采样算法。(Particle filter algorithm, in which the use of residual resampling resampling algorithm.)

利用opencv+VC++实现对图像的边缘处理，从而对图像进行检测(Use opencv+ VC++ to achieve the edge of the image processing to the image detector)

基于JPEG压缩的无参考图像质量评价算法，输入一幅图像，输出图像的评价值，值在0-100之间，越接近0图像的质量越好(JPEG-based compression algorithm for no-reference image quality assessment, an input image, the output image uation value, a value between 0-100, closer to 0 the better the image quality)

基于图像检索的matlab代码，基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等 相似度：马氏距离，欧氏距离等 相关反馈：机器学习方法，如SVM，神经网络等 检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大(content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance)

说明：  用canny算子来检测图像边缘，VC++(Using canny operator to detect image edge)

计算一个已归一化到单位区域的双峰值高斯函数(Calculation of a normalized unit area to the two-peak Gaussian function)

实验两张图片的拼接，对于图片中的匹配对，用ransac方法消除错配，并估计出仿射矩阵。然后将一张图进行仿射变换，再实现拼接(Experiment two pictures of the stitching, matching pairs for the picture, with ransac way to eliminate mismatches, and to estimate the affine matrix. Then an affine transformation diagram, and then realize splicing)