haze_tool

图像噪点检测，去除难以区分的斑点噪声及平滑图像 双曲型差分(Image denoising and hyperbolic difference)

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.)

说明：  用来进行滤波的,这是基于matlab环境的编程程序,(Used for filtering, which is a programming program based on matlab environment.)

关于做人脸检测的时候所用到的Haar-like特征国内的文献讲的不是很详细，大家可以参考一下这篇文献，比较有价值的啊(human face detection of the time when used in the Haar- like characteristics of the domestic literature stresses is not very long Fine, we can refer to this document, the more valuable ah!)

这是一个用于角点检测的算法程序，精度还可以，适合图像匹配时使用，对于一些特征点也可以效果明显，值得一看(This is for a corner detection algorithm procedures, the accuracy can also suitable for use image matching, For some feature points can obviously, an eye-catcher)

说明：  经典的图像像素层融合算法-Brovery.程序输入中两幅图像需经过配准，大小一致。matlab代码内有详细的注释。其他像素层融合算法可仿照此修改即可。需要配对图像和运行结果、其它基于小波融合代码的可发邮件给我。非常乐意和大家共享编程乐趣。(classic image pixel level fusion algorithm-Brovery. Import procedures which require a two image registration, the same size. Matlab code with detailed comments. Other pixel level fusion algorithm can be modeled on this amendment. Image matching needs and operating results, the other based on wavelet integration code can mail it to me. Very happy to share programming and fun.)

均值滤波去噪声程序，效果显著，已经通过调试(Mean filter to the noise process, achieved significant results, have been through the debugging)

说明：  python实现人脸识别，通过pca进行降维然后使用SVM算法进行分类(Python realizes face recognition, dimensionality reduction through pca and classification by SVM algorithm)

DEM数据处理，有贴纹理及漫游程序，自己在其他网上下载的 希望对做三维的朋友有所帮助(DEM data processing, has the stick texture and roaming)

imx377 手册 imx377 datasheet imx377 datasheet(imx377datashee, imx377datasheet,imx377datasheet)