daqituanliu

能够检测椭圆，并且在已知摄像机安装高度和倾角的情况下实现单目测距，代码能够运行(Ellipse can be detected, and the camera installation height and in the case of the known inclination to achieve monocular ranging code to run)

标注节点距离，批量标注节点距离。节省画图时间 提高画图效率(Marking Node Distance)

人脸识别基于pca lda mmc 的matlab代码(Face Recognition Based on pca lda mmc the matlab code)

说明：  snakes模型的代码（matlab语言），包括GVF模型代码，里面含使用说明。(snakes model code (matlab language), including the GVF model code, which contains instructions.)

说明：  Tent混沌系统的分析图。对就是分析图系列，没错。Tent。。。。。。(The analysis diagram of Tent chaotic system. That's the analysis of the graph series, that's right. Tent)

说明：  使用matlab进行图像去雾，有助于帮助刚入门的图像小白学习matlab图像处理(Matlab image defogging, helpful to help beginners learning image white matlab image processing)

说明：  UNet最早发表在2015的MICCAI上，短短3年，引用量目前已经达到了4070，足以见得其影响力。而后成为大多做医疗影像语义分割任务的baseline，也启发了大量研究者去思考U型语义分割网络。而如今在自然影像理解方面，也有越来越多的语义分割和目标检测SOTA模型开始关注和使用U型结构，比如语义分割Discriminative Feature Network(DFN)(CVPR2018)，目标检测Feature Pyramid Networks for Object Detection(FPN)(CVPR 2017)等。(Its influence has reached 70% in 2015. Then it became the baseline that most of the medical image semantic segmentation tasks, and inspired a large number of researchers to think about the U-shaped semantic segmentation network. In the aspect of natural image understanding, more and more SOTA models of semantic segmentation and object detection begin to pay attention to and use U-shaped structure, such as semantic segmentation, discriminative feature network (DFN) (cvpr2018), feature pyramid networks for object detection (FPN) (CVPR 2017), etc.)

均值偏移算法，在图象的平滑和分割方面是一种很有用的处理方法(mean deviation algorithm, the image smoothing and segmentation is a very useful approach)

图像自适应阈值分割，基于直方图的图像阈值分割(Image adaptive threshold segmentation)

图像盲解卷积复原，一模方法，算法在压缩包内(Blind Image Deconvolution recovery, a model approach, the algorithm in the compressed package)