pf_arithmatics

著名的psinsar小组开发的MATLAB 源码。可供学习。 (Kampes, B.M., "Radar Interferometry-- The Persistent Scatterer Technique", published by Springer, 2006. The software consists of a Matlab toolbox. Matlab must be installed on your system in order to use it.)

基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法源代码IMAGE DENOISING USING BAYES THRESHOLDING OF WAVELET COEFFICIENTS (Based on Bayesian (BAYES) Wavelet thresholding (WAVELET) image denoising algorithm source code IMAGE DENOISING USING BAYES THRESHOLDING OF WAVELET COEFFICIENTS)

基于图像纹理的特征提取，使用灰度共生矩阵方法。(Texture feature extraction based on the use of gray level co-occurrence matrix method.)

digital image processing project TUMOR DETECTION

能比较全面的图像处理系统。主要内容包括：位图基础、图像的显示、图像的几何变换、图像灰度变换、图像的平滑处理、图像锐化处理及边缘检测、图像分割及测量、图像的形态学处理、图像的变换域处理及应用、图像的合成、24位彩色图像的处理、JPEG图像的压缩编码(can more comprehensive image processing system. Main contents include : bitmap based, image display, image geometry transformation, gray transform, image smoothing, image sharpening and edge detection, image segmentation and measurement, image morphology, Image Transform and application processing, image synthesis, 24-bit color image processing, JPEG image compression coding)

说明：  可在matlab软件上实现自适应阈值分割(Adaptive threshold segmentation can be realized)

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)

The tool box contains the matlab code for image denosing in nsct.

采用基于RL(Richardson-Lucy)算法的超分辨图像复原。能够实现图像的频谱外推，得到期望的复原图像。(The RL (Richardson-Lucy) algorithm-based super-resolution image restoration. Extrapolation of image spectrum, to obtain the desired restored image.)

包括计算共生矩阵、对共生矩阵归一化、对共生矩阵计算能量、熵、惯性矩、相关4个纹理参数、求能量、熵、惯性矩、相关的均值和标准差作为最终8维纹理特征 (Including the calculation of co-occurrence matrix, normalized to the co-occurrence matrix, co-occurrence matrix calculation on the energy, entropy, moment of inertia, related to four texture parameters, find the energy, entropy, moment of inertia, related to the mean and standard deviation as the final eight-dimensional texture feature)