ostu

Digital Image Correlation (DIC) is an optical, non-contact method to measure full-field displacements and strains. The only requirement is that the test specimen has a random speckle pattern on its surface, either generated by the experimentalist (i.e. random paint pattern) or occurring naturally (i.e. surface texture at large magnifications). There is no inherent length scale to DIC - by choosing the appropriate magnification of images and the corresponding speckle size, DIC can be used to measure displacements from the meter scale to the micron scale.

使用C++ OpenCV库进行行人检测，并且计数人流量个数(Use C++ OpenCV library for pedestrian detection and count the number of human traffic)

说明：  基于双边滤波的retinex算法，暗光图像增强，有效去噪、提高对比度、去光晕；含论文和讲解PPT、实例代码(Retinex algorithm based on bilateral filtering can enhance dark image, effectively denoise, improve contrast and eliminate halo)

图像处理matlab程序的源代码。包括图像的高通滤波和掩模处理，图像的阈值分割等。(MATLAB image )

精通MATLAB图像处理第2章所有的程序代码或实例代码(Proficient in MATLAB image processing Chapter 2 program code or code examples)

基于alpha matting的抠图技术(Alpha matting based matting techniques)

基于matlab做的数字水印，文件包括源代码及原图像和加入水印后的图像，经过测试，能有效抗攻击(Matlab-based digital watermarking so that the document includes the source code and the original image and adding a watermark image, tested and effective anti-attack)

生成静态散斑图，通过快速傅里叶变换，得到激光散斑图。(Generate static speckle pattern)

基于模糊C-均值聚类算法的图像分割，消除二值分割的非此即彼的缺陷(Image segmentation based on fuzzy C- means clustering algorithm eliminates the defects of two value segmentation.)

自写M函数，做灰度图像的灰度级数及灰度范围的自定义设置。例如：将[0 255]的uint8图像变换成8级灰度的灰度范围为[0 7]图像或者[11.5 25.8]图像。 输出图像为double类，用户可将图像归一化后自行转换为所需类型。(This is a M function written by self, it can be used to rebuild a image with a given number of gray-level and a given gray-scale. Output image is double class.)