random-hough-transform

针对各类分数阶混沌系统进行同步，数值仿真结果证明系统的稳定性(Numerical simulations show that the system is stable for all kinds of fractional order chaotic systems.)

The focus of this project is to experiment with intensity transformations to enhance an image.

生成高斯光速及其变化束腰，平顶目标图片，和各种光束整形的图形(Generating gaussian beam waist and the changes the speed of light Ceiling target images, and various beam shaping graphics)

天津工业大学课程设计，内容包含vs2010对图像的灰度化，二值化，边缘检测。包含单纯c语言编写的对图像的灰度化，二值化，边缘检测的一个.C文件，可以直接用vc6.0运行，也可以直接在DSP上运行，还包含一份详细的设计报告。(Tianjin Polytechnic University curriculum design, content includes vs2010 grayscale image binarization, edge detection. Contains pure c language for image graying, binarization, edge detection is one. C file that can be run with vc6.0 can also be run directly on a DSP, also contains a detailed design report.)

包含了21篇二维最大类间方差（Otsu）阈值分割方法的论文，(Contains 21 article 2 d between the most kinds of variance (Otsu) threshold segmentation method papers)

基于小波变换的图像分割算法，它实现了论文 Wavelet Based Bimodal Image Segmentation for Blob Exctraction... 的算法。(This code is a part of work Wavelet Based Bimodal Image Segmentation for Blob Exctraction... .)

根据CVPR最佳论文实现的基于暗通道的图像去雾算法（含soft matting），以及算法改进：包括对色彩失真的改进以及一种达到soft matting效果的快速算法(According CVPR Best Paper realized based on dark channel images to fog algorithms (including soft matting), and algorithm improvements: Improvements include color distortion as well as a way to achieve fast algorithm for soft matting effect)

Multi-Scale Structural Similarity Index (MS-SSIM). Download here. Please cite the following paper in any published work if you use this software. Z. Wang, E. P. Simoncelli and A. C. Bovik, "Multi-scale structural similarity for image quality assessment," IEEE Asilomar Conference Signals, Systems and Computers, Nov. 2003.

基于小波阈值的去噪方法，可以通过改变不同的参数达到不同的效果。(Wavelet threshold de-noising method can achieve different effects by changing the different parameters.)

基于基元共生矩阵的纹理特征提取。通过5个基本的方格来检测图像并生成图像的基元共生矩阵，并从矩阵中提取其纹理特征信息。(Texton occurrence matrix based texture feature extraction)