ObImPr

this is a project about animation. how do we form the shape to make it look like car, house abd so on. with the colours that wee like and the movement.

阴影检测,基于OpenCV用于对图像中阴影的检测(Shadow detection, OpenCV for image shadow detection)

实现了对误拍角度的矫正，基于轮廓提取以及旋转矩阵变换实现图像错误识别和矫正(It realizes the correction of misalignment angle, and realizes image error recognition and correction based on contour extraction and rotation matrix transformation.)

基于opencv的Kinect深度图像的去噪，滤波(Opencv based Kinect depth image denoising, filtering)

图像处理的KMP算法源程序，KMP算法是一种基本的、实用的字符串比较算法，广泛应用于图像处理和模式识别。(Image processing algorithms source KMP, KMP algorithm is a basic, practical string comparison algorithm, widely used in image processing and pattern recognition.)

施法中新版《计算几何与计算机图形学》，书中所带光盘，包含书中源码和其团队开发的软件，能够实现曲线曲面拟合和编辑(The new cast of Computational Geometry and Computer Graphics , the book brought the disc that contains the source code in the book and his team developed software enables curve and surface fitting and edit)

说明：  实现pca主成分分析算法的c语言代码，希望能帮到大家。(Pca principal component analysis algorithm to achieve the c language code, hope to help you.)

ct图像重建系统，本程序需要先安装和配置好vtk环境才能编译并以命令行方式运行。(ct image reconstruction system, the program you need to install and configure vtk environment to compile and run the command line.)

高斯平滑滤波实例，高斯滤波实质上是一种信号的滤波器，其用途是信号的平滑处理，我们知道数字图像用于后期应用，其噪声是最大的问题，，由于误差会累计传递等原因，很多图像处理教材会在很早的时候介绍Gauss滤波器，用于得到信噪比SNR较高的图像（反应真实信号）。 (Instance of the Gaussian smoothing filter, Gaussian filter is essentially a signal filter, its purpose is to smooth processing of the signal, we know that the digital image for the late application, the noise is the biggest problem, the error accumulated transfer reason, a lot of image processing textbooks will be introduced at an early Gauss filter for higher SNR of the image (real response signal).)

北航图像处理demo，目前集成了从色彩转换、彩色图像处理、灰度图像处理、二值图像处理、阈值分割、边缘检测、数学形态学方法、等多个组件(Northern image processing demo, now integrated from the color conversion, color image processing, gray-scale image processing, binary image processing, thresholding, edge detection, mathematical morphology, and many other components)