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基于FCM的彩色图象的分割的MATLAB源代码(FCM-based segmentation of color images of the MATLAB source code)

转：https://blog.csdn.net/jinshengtao/article/details/26278725 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景，然后使用统计差分(如3σ原则)进行目标像素判断，可以对复杂动态背景进行建模，计算量较大。 在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation. In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak).)

实现对邮票中手写字符的提取，得出灰度直方图，平滑算法，锐化算法以及输出二值化图像(Realization of the extraction of handwritten characters in stamps)

遥感图像的读取，显示。包括BSQ、BIL、BIP格式。带实验数据。(Remote sensing image read, display. Including the BSQ, BIL, BJP format. With the experimental data. )

LK光流算法，包括opencv中LK稀疏跟踪的原理，主要是几篇英文文献，另外还有LK的matlab代码(LK optical flow algorithms, including LK sparse tracking opencv in principle, mainly a few in English literature, in addition to LK matlab code)

matlab3种内插法的实现。最近邻内插法，双线性内插法，双三次内插法的具体实现(To realize interpolation in matlab3)

GFT图片格式转换源码，程序根据腾讯皮肤GFT图片的格式，进行字节集的操作实现GFT图片的转换。(GFT image format conversion source code , the program according to Tencent skin GFT picture format operation byte set to achieve GFT image conversion.)

人脸68点标注，用于人类面部关键点检测，结合dlib(face landmark master)

        本例子集成了“MLP”,"SVM","KNN","GMM",分类器算法，可以作为进行物体分类，缺陷检测的参考案例。

图像融合中pan图像和多光谱融合的四种方法（IHS PCA 小波 小波结合PCA）和融合效果的评价指标计算（信息熵、Q4等指标）(Image fusion of the pan and multi-spectral image with four methods (IHS PCA wavelet wavelet combined PCA) and fusion effect evaluation method)