MAT-PROGRAM

说明：  对边缘图像作hough变换，从峰值中恢复出车道线(Right edge of the image for hough transform, recovered from a peak in the lane)

这是一个用matlab开发的程序，用小波理论来完成图像边缘检测的，程序可用。(This is a procedure developed by matlab, using wavelet theory to complete the image edge detection, the program can be used.)

数字图像隐藏及提取研究分析论文、文献等。主要研究算法为LSB算法和DCT奇偶量化、DCT均值量化。(Digital Image Information Hiding and Extraction of analytical papers, literature. The main algorithm for the LSB algorithm and DCT parity quantization, DCT mean quantization.)

说明：  基于ADMM的TV正则化最小化稀疏重建算法(TV Minimization Sparse Reconstruction Algorithms Based on ADMM)

数学形态学及相关算法的C语言实现实例 源代码调用OpenCV的cxcore和highgui两个库，应用C语言编写，实现对染色体图像中染色体数目的统计。代码中的核心算法为数学形态学的重要算法——开运算、闭运算（腐蚀和膨胀）。包含腐蚀处理、膨胀处理、自适应中值滤波、微分直方图法确定二值化阈值、种子填充算法等图像处理算法的C语言实现，值得参考。(Mathematical Morphology and related algorithms realize the C language source code examples of cxcore call OpenCV and highgui two libraries, the application of C language to realize pairs of chromosomes in the chromosome number of image statistics. The core algorithm code for an important mathematical morphology algorithms- open operation, closing operation (corrosion and expansion). Contains corrosion treatment, expansion of treatment, adaptive median filter, histogram method to determine differential binarization threshold, the seed fill algorithm, such as image processing algorithms realize the C language, it is also useful.)

TurboPixels超像素生成算法，matlab运行，(TurboPixels super pixel generation algorithm)

说明：  小波模极大源代码，可用来进行小波降噪或小波模态参数识别(Wavelet modal maximum source code, can be used for wavelet noise reduction or wavelet modal parameter identification)

说明：  本算法是matlab代码，通过icp点云匹配算法实现三维点云的配准(The algorithm is matlab code, and the registration of three-dimensional point cloud is realized by ICP point cloud matching algorithm.)

实现图像的滤波、锐化、边缘检测、微分处理及图像平滑(Image filtering, sharpening, edge detection, differential processing and image smoothing)

实现了基于关键像素点的FLICM图像分割算法，关键像素由局部最大值方法提取。(A FLICM image segmentation algorithm based on key pixels is implemented. Key pixels are extracted by local maximum method.)