BIANYUANTIQU

通过PCA+Retinex对图像进行图像增强处理(Image enhancement processing by PCA+Retinex)

matlab计算二值图像几何特征中目标主轴长度(binary image matlab calculation of the geometric characteristics of the target length of major axis)

说明：  图象处理的融合算法集合,有8种融合算法,这是我硕士课题中的源代码.以函数的形式给出,肯定能用(The integration of image processing algorithm for the collection, there are eight kinds of fusion algorithm, this is my master s degree in the subject s source code. In the form of function is given, certainly can)

模糊核聚类及几篇文章，用于数据和图像的模糊聚类分割，效果还行(nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK)

用于解算BOS图片时基图与时图位置按标准方式排列(The positions of base and time map are arranged in a standard way when calculating BOS pictures.)

说明：  a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹： Texture_mosaic_data）中每一个像素提取纹理特征向量； b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向 量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类 属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder: Texture feature vector is extracted from every pixel in texture; B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction The number of categories can be determined according to the actual number of texture classes in the image. Last class The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)

这是本人开发的一个课题软件，主要用于点细胞识别与轨迹追踪! 具有 很好的研究价值，里面运用 图像处理（很多种）函数的 编写与调用！！ 估计仅此一个项目代码，版主就应该给我特殊鼓励的！(err)

通过matlab自带函数等，实现复杂背景下，提目标外轮廓，并且去除内部小区域，得到边缘(By using MATLAB functions and so on, the target contour can be extracted under complex background, and the inner small area can be removed to get the edge.)

基于harris兴趣点的图像检索程序。先特征提取，进而进行特征匹配，最后还有结果的返回。(Harris points of interest based on image retrieval process. First feature extraction, feature matching and then carried out and, finally, the results returned.)

用MAATALB 实现的，是一些工具包，用于图形图像处理包括readme.m,Contents.m,ice.m(The MAATALB implementation is a number of toolkits for graphic image processing includingreadme.m,Contents.m,ice.m)