MRF-grubcut

基于Hilbert变换的相位差测量法分析及改进 (Based on the analysis phase measurement and improvement of the Hilbert transform)

说明：  利用红黑小波进行图像去噪，图像复原，并与常规的小波进行比较(use red, black and wavelet denoising images, image recovery, and with the conventional comparison of wavelet)

这是用C++实现图像立体匹配的一个完整的论文代码，主要特性是提出了一种全新的跨规模代价聚合方法，适合对于图像的立体匹配有一定基础的人学习(Cross-Scale Cost Aggregation for Stereo Matching)

用Visual C++实现Hough变换(Using Visual C++ Achieve Hough Transform)

线阵ccd信号处理，信号放大预处理，采样保持，A/D转换，分析采集的到的图像信息，确定物体位置(signal prosessing of ccd)

图像配准的源程序，matlab编写的，试试看(image registration source, prepared by the Matlab Try)

BenchmarkDataset,做图像处理的标准图像库(BenchmarkDataset, do image processing standard image library)

SAR面目标回波仿真 包含3个目标三维矩阵的mat文件 分别对着三种不同面目标可以进行回波仿真 直接运行即可(The SAR surface targets echo simulation contains 3 target three-dimensional matrix mat file against the three different surface targets echo simulation can be run directly)

可实现答题卡阅卷系统中的图像倾斜矫正，采用Hough进行直线检测，并根据所定位的特征直线位置计算倾斜角度，再进行图像旋转，得到校正结果(chieve answer sheet scoring system image tilt correction, performed using Hough line detection, and calculates the inclination angle in accordance with the target characteristic linear position, then rotate the image, corrected results)

本设计主要目的是实现染色体的识别计数。首先对图形进行预处理，将图像转化为灰度图、滤波去噪，然后对图像进行二值化，合理选取阈值，进行直方图阈值处理，最后去除图像中面积过小的杂点，最终实现识别计数。(The main purpose of this design is to achieve the identification of chromosome count. The graphical pre-processing, the image is converted to grayscale, filtering denoising, image binarization, reasonable selection of the threshold, histogram thresholding, and finally remove the image area is too small noise , and ultimately identify the count.)