mjfap

说明：  二维功率谱密度计算程序 使用傅里叶变换，可以计算功率谱密度(Two dimensional power spectral density calculation program using Fourier transform)

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.)

一个简单的windows TDI框架,通过他可以熟悉TDI框架模型(A simple windows TDI framework through which he can familiarize himself with the TDI framework model)

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)

实现16位bmp图像转jpeg，并可以通过调节源码可实现压缩率(16bit bmp zipped to jpeg style )

基于MATLAB实现的图像中Hariis角点检测方法示例(Hariis corner detection based on MATLAB)

行人目标检测 代码文件基于hog+svm检测技术。(people dectect and depending on hog+svm )

实现图像小波分解，可以自行指定分解级数，采用daubenchies小波(Achieve the wavelet decomposition, you can specify the decomposition of their own series, using wavelet daubenchies)

首次适应算法First Fit： 从空闲分区表的第一个表目起查找该表,把最先能够满足要求的空闲区分配给作业,这种方法目()

很全的图像融合指标，综合熵、空间频率、互信息等等，一共7种！和两幅源图像！每个程序都测试过，效果很好，直接出结果(Are all indicators of image fusion, integrated entropy, spatial frequency, mutual information, etc., a total of 7! And the two source image! Each program is tested with good results, directly results from)