jibencaozuo

DCT在图像重构，压缩感知以及稀疏表示中的应用(DCT in image reconstruction, compressed sensing and sparse representation of the application)

对图像目标识别和提取，主要通过改进非线性阈值分割实现(For image target recognition and extraction, the main method is to improve the non-linear threshold segmentation.)

Visual Geometry Group项目组开发的超分辨率重建的源码，具有很好的效果。 附有详细的文档说明，可直接运行(a good super-resolution reconstruct source code developed by Visual Geometry Group, with detail description)

转辙机图像采集板区域参数设置上位机界面程序，转辙机通信协议，多项式拟合参数及阈值设置。(Switch machine image acquisition board area parameter set PC interface program, switch machine communication protocols, polynomial fitting parameters and the threshold value is set.)

读入图像，对图像进行预处理，随后检测边缘，对得到的图像进行二值化，然后进行hough变换，获得圆边界，将此图与原图叠加，增强边缘(Read in the image, the image pre-processing, followed by edge detection, binarization on the image to get, and then the hough transform to obtain the circular boundary, this map and the original image overlay to enhance the edge)

对于一个二值图像骨架化之后进行边缘平滑，滤波，效果非常不错，适合于任何二值图片(After a binary image is skeletonized, it is smoothed and filtered. The effect is very good. It is suitable for any binary image.)

双边滤波，在平滑噪声图像的同时又可保留图像的边缘信息(Bilateral filtering, the noise in the image while smoothing the image edge information can be retained)

图像处理的外文文献 很好的资源 有翻译 自己写的 很不错的效果(Good resource for image processing of foreign language literature written translation of their own very good results)

采用Graph Cut算法进行multiple-label的图像分割，算法很完整，非常适合初学者以及开发人员参考(multiple-label image segmentation using Graph Cut based algorithm, suitable for beginners and developers)

说明：  基于背景差分法和帧间差分法的目标跟踪 应用了二维滤波，效果较好(Based on background difference and frame difference method applied to two-dimensional target tracking filter, better)