Digital-Image-Processing

稀疏自适应匹配追踪算法，无需稀疏度，就可以重构原始信号。(Sparse adaptive matching pursuit algorithm, without sparsity, we can reconstruct the original signal.)

说明：  图像凭借代码，捕获摄像头进行图像拼接。利用柱面投影的方式进行投影，然后对图像进行拼接。(image stitching program)

说明：  本程序使用MATLAB编程用于计算图片的视觉混乱度(Calculate the visual clutter of pictures)

说明：  自动检测干涉条纹中心线算法，代码功能强大，模块很多，方便逐一了解，全自动的算法优势。(Automatically detects interference fringes centerline algorithm, code, powerful, a lot of modules, easy to understand one by one, fully automatic algorithm advantage.)

此算法为基于k-means聚类的非局部均值快速去噪算法，方法便捷有效，可保持边缘信息(this is a fast edge-preserving denoising method based on non-local means method with k-means clustering)

说明：  结合模糊C均值聚类算法与水平集方法的图像分割代码，分割效果良好。(The image segmentation code based on fuzzy c-means clustering algorithm and level set method has a good segmentation effect.)

基于小波特征提取的图像匹配matlab程序，将图像进行二维小波变换，提取概貌系数，并去掉对特征影响不大的系数(Wavelet feature extracting based image matching)

一个关于hough和radon变换的实例,实现了时钟图形做图.(and one in Chinese on hough transform examples and achieve a clock graphic graphics.)

说明：  数字图像处理(Digital Image Processing)是通过计算机对图像进行去除噪声、增强、复原、分割、提取特征等处理的方法和技术。 [1] 数字图像处理的产生和迅速发展主要受三个因素的影响：一是计算机的发展；二是数学的发展（特别是离散数学理论的创立和完善）;三是广泛的农牧业、林业、环境、军事、工业和医学等方面的应用需求的增长(Digital Image Processing (DIP) is a method and technology of removing noise, enhancing, restoring, segmenting and extracting features from images by computer. [1] The emergence and rapid development of digital image processing are mainly influenced by three factors: first, the development of computer; second, the development of mathematics (especially the establishment and improvement of discrete mathematics theory); third, the growth of the demand for extensive applications in agriculture, animal husbandry, forestry, environment, military, industry and medicine.)

gray image to color image conversion