ICM2image_loop

说明：  用灰度共生矩阵对共生矩阵归一化和计算能量、熵、惯性矩、相关4个纹理参数。(On the symbiosis with the GLCM matrix normalization and calculation of energy, entropy, moment of inertia, related to four texture parameters.)

基于纹理度量的图像分割，适用于遥感图像，利用到K-mean算法(texture measurement based on the image segmentation, applicable to remote sensing images, the use of K-mean algorithm)

基于opencv的Kinect深度图像的去噪，滤波(Opencv based Kinect depth image denoising, filtering)

光线补偿 的matlab程序代码，有图片(Light compensation matlab code, pictures)

图像剧烈湍流模糊，数字图像处理（第二版）第五章例题5.25的实现程序(Severe turbulence fuzzy image, digital image processing (second edition), Chapter V, Example 5.25, to achieve program)

itti算法进行感兴趣区域的选择，方法较好，可以直接运行。(itti algorithm select the region of interest ,and this program can run directly)

基于ROF全变差分模型，用于图像去噪，并利用split bregman算法进行加速运算(ROF points based on total variation model for image denoising, and using split bregman accelerated computing algorithms)

使用Matlab实现LMS自适应滤波，实现的主要功能有：读入原始音频，加入高斯噪声后用LMS自适应滤波滤除，比较原始音频，加入噪声音频和滤波后音频的区别。(Matlab achieved using LMS adaptive filtering to achieve the main features are: read the original audio, adding Gaussian noise is filtered using LMS adaptive filtering, comparing the original audio, add audio and noise filtered audio difference.)

求图像峰值信噪比，可以用于图像质量的评估。(Peak signal to noise ratio for images that can be used for image quality assessment.)

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.)