第三章图像灰度直方图变换

一个类似ACDSee的看图工具，可以察看很多种格式的图形文件。由ISee开发组提供(ACDSee pictures of a similar tool, you can see a variety of graphics file formats. ISee provided by the development team)

这是一个用C实现7-bit的编码和解码的算法 非常有效 经过本人验证的,可用()

二维离散分数阶傅里叶变换程序，可以用做图像处理，绝对可用(Two-dimensional discrete fractional Fourier transform program, you can use to do image processing, absolutely free)

用于pivlab处理得到的流场数据画图，具体使用见注释(Flow field data plots for piv processing)

基于CVI的二维码图像识别 QR Code的认识和识别(Awareness and recognition of the two-dimensional code image QR Code)

sar滤波中最经典的频率域滤波算法.效果也不错.(sar filtering of the most classic frequency domain filtering algorithm. effect is not bad.)

小波变换方法采用对高频系数平均的方法实现图像融合算法(Wavelet transform coefficients using the average of the high-frequency method to achieve image fusion algorithm)

实现了一个二维小波分解、重构程序，对一副16*16的数字图像进行了二层小波分解和重构。(A two-dimensional wavelet decomposition and reconstruction program is implemented, and a 16*16 digital image is decomposed and reconstructed by two-level wavelet.)

IMDCT的matlab实现算法,采用递归结构，嵌套循环，作为硬件实现的Gold(IMDCT in matlab platform)

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.)