fusion

主分量分析对SAR图像目标进行特征提取，用最近临方法进行分类(Principal component analysis（PCA） of SAR image target feature extraction, classification using nearest-neighbor method)

图像纹理分析的源代码，基于分形维数的图像纹理分析(Image texture analysis of source code, based on fractal dimension of image texture analysis)

Image Database 2.5.0 (w/ thumbnails)

MATlab图像分割源代码,包含边缘检测，区域分割，直方图(MATlabapplican)

说明：  本文以k-means算法为背景，引入信息熵相关知识，从而实现全自动分割图像。然而在利用混合高斯模型对图像进行数据分析时，会发生一定的过拟合现象，导致我们得不到预期的聚类数目。本文设计合理的合并准则，令模型简化，有效地消除过拟合现象，使得最后得到的聚类数目与预期符合。，设计合理的准则改进了图像的全自动分割方法，使得分割结果更加优化(In this paper, k-means algorithm is used as the background, and information entropy related knowledge is introduced to realize full-automatic image segmentation. However, when the Gaussian mixture model is used to analyze the image data, there will be some over-fitting phenomenon, resulting in that we cannot get the expected number of clusters. In this paper, a reasonable merging criterion is designed to simplify the model and effectively eliminate the over-fitting phenomenon, so that the final clustering number is in line with the expectation. A reasonable criterion is designed to improve the automatic image segmentation method and make the segmentation result more optimized.)

对李纯明的DRLSE进行了改进 利用各向异性扩散提高了分割弱边缘的能力 改进的高斯滤波代替惩罚项 加快了演化速度 节省了时间(The DRLSE to LiChunMing improved using anisotropic diffusion improve the segmentation of improvement of the ability weak edge gaussian filtering instead of penalty term accelerated evolution speed save time)

该程序主要利用快速傅里叶算法将振动信号的时域转化成频域信息，得出频谱进行分析。(The program mainly using fast Fourier algorithm time domain vibration signal converted into the frequency domain information, obtain spectral analysis.)

使用Matlab GUI界面实现心电滤波效果交互式查看(To view the filtering result of ECG in the Matlab GUI interface)

自己编的求图像熵值的小程序，用来理解熵的含义和概念。(Own image for the entropy of small procedures, used to understand the meaning and concept of entropy.)

说明：  该代码能够实现K均值聚类算法对彩色图像分割，在MATLAB下实现。(The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.)