LabVIEW

基于数学形态学的图像腐蚀程序，用c语言编写，适合初学者理解。(Image based on mathematical morphology erosion process, using c language, suitable for beginners to understand.)

分段自适应正交匹配追踪StOMP算法源程序，压缩感知里面很好的算法(Orthogonal Matching Pursuit StOMP adaptive segmentation algorithm source code, a good algorithm inside compressed sensing)

图像预处理：分水岭分割算法，图像灰度化、高斯平滑、均衡直方图、图像对比度增强(Image Pre-processing: a watershed segmentation algorithm, images of gray-scale, Gaussian smoothing, balanced histogram, image contrast enhancement)

极坐标图像转直角坐标图像，相当于球面的展开效果，最好是正方形图像，但是长方形也可以。(POLARTOIM converts polar image to rectangular image)

读取与显示JPG等格式图像文件，Visual C++编程技巧精选，很好的参考资料。(Read and display JPG format image files, Visual C++ programming skills selected, a good reference.)

2014年西安电子科技大学数字图像处理上机实验，同时是研究生和本科生的代码及作业 (2014 Xi' an University of Electronic Science and Technology of digital image processing experiments on board, while the graduate and undergraduate students and job code)

说明：  给图像加高斯白噪声,里面有详细的代码，我不知道该说些什么，只是觉得很好(gaussian noise Why must I be forced to write so many words?)

图像压缩标准jpeg的源码。使用的语言为C语言。(Image compression standard JPEG source. The language used for the C language.)

说明：  (1)利用matlab函数进行噪声模拟，并用matlab自带函数进行图像滤波。 (2)利用给定图像自己编程实现使用均值滤波器、中值滤波器对不同强度的高斯噪声和椒盐噪声，进行滤波处理，并对结果进行评价分析，并解释结果。 (3)自己编程实现laplacian算子图像的处理，实现图像增强；编程实现sobel算子对图像边缘提取。将结果与matlab自带函数计算结果比较。 (4)利用模糊处理对图的灰度值进行改变实现灰度增强，并与直方图均衡结果比较((1) Matlab function is used to simulate noise, and Matlab function is used to filter image. (2) Using the given image, we use the mean filter and median filter to filter the Gaussian noise and salt and pepper noise with different intensities, evaluate and analyze the results, and interpret the results. (3) The image processing of Laplacian operator and image enhancement are realized by programming Sobel operator is used to extract image edge. The results are compared with those of MATLAB. (4) Fuzzy processing is used to change the gray value of the image to achieve gray enhancement and balance with histogram)

对SWAN输出文件进行数据处理及图像输出(SWAN output file, data processing and image output)