envelopeanalysismatlab-master

对偏振图像进行融合处理。其中包括比较经典的小波变换，ihs垂直变换以及拉普拉斯金字塔变换。。。(The polarization image fusion processing. Including the more classic wavelet transform, ihs vertical transformation and Laplacian pyramid transformation. . .)

利用马尔可夫随机场进行图像分割，可以直接运行，可以设定分割类数(segmentation based on MRF)

GML_RANSAC_Matlab_Toolbox_0[1].2--RANSAC算法及其各种改进算法，以及仿真结果分析－－只是分析(GML_RANSAC_Matlab_Toolbox_0 [1] .2 RANSAC algorithm and its improved algorithm, as well as analysis of simulation results- only analysis)

我自己做的一个bmp文件进行24位真彩转256灰度和二进制的程序，并能用sobel算法，识别物体的边界。 (I myself make a bmp file for 24-bit true color to 256 gray-scale and binary procedures and sobel algorithm can be used to identify object boundaries.)

高光谱图像的读取程序，在matlab界面直接调用就可以(Hyperspectral image reading program in matlab interface can be called directly)

本程序运用帧间差分法进行运动目标的检测，通过帧间差分法获得差分图像，然后运用数学形态学进行处理，突出运动目标。(This program uses the inter-frame difference method for the detection of moving targets, the difference image obtained through the inter-frame difference method, and then use mathematical morphology processing, highlighting the moving target.)

Image enhancement is a processing on an image in order to make it more appropriate for certain applications. It is used to improve the visual effects and the clarity of image or to make the original image more conducive for computer to process. Contrast enhancement changing the pixels intensity of the input image to utilize maximum possible bins. We need to study and review the different image contrast enhancement techniques because contrast

在matlab环境下基于数学形态学的图像去噪，传统去噪只选用一种结构元素，去噪效果并不理想，这种去噪方法实现简单，功能强大，无论对于高斯、椒盐、维纳等噪声都去有很强的去噪效果，且算法简单。(In the matlab environment based on mathematical morphology image denoising, denoising only use traditional elements of a structure, de-noising effect is not ideal, this denoising method is simple and powerful, both for the Gaussian, salt and pepper, Wiener such noise are to have a strong denoising effect, and the algorithm is simple.)

FLICM一种基于模糊局部信息C均值聚类方法，是对传统FCM聚类方法的最近改进方法，具有更强的鲁棒性，效果明显优于传统算法。(A novel and robust FCM framework for image clustering called Fuzzy Local Information C-means (FLICM) clustering algorithm.)

运用超像素分割算法对图像进行预分割，再利用dbscan聚类算法进行聚类最终实现图像分割。(The use of ultra-pixel segmentation algorithm for image pre-segmentation, reuse dbscan clustering algorithm to cluster the final image segmentation.)