HU不变矩

本文针对多光谱图像配准中不同光谱图像间存在较大的灰度差异、同一景物在不同波段表现的特征也各不相同等问题，提出了基于互信息相似性测度的多光谱图像配准算法。(In this paper, multi-spectral image registration between different spectral image there is a big difference in gray scale, the same scene in different bands performance characteristics are different questions, we present a similarity measure based on mutual information of multi-spectral image registration algorithm .)

SAR图像目标检测是SAR ATR(自动目标识别)的关键步骤,也是近年来SAR图像解译应用的一大研究热点.在广泛文献调研的基础上,本文从SAR图像目标检测的历史沿革、研究现状开始,综述了SAR图像目标检测的研究进展及存在问题(SAR image target detection is the SAR ATR (automatic target recognition) a critical step in SAR image interpretation is also applied in recent years, a major research focus. In the extensive literature on the basis of research, this article from the SAR image target detection to the history and study of the status quo began an overview of SAR image target detection Progress and Problems)

能够成功实现傅里叶变换，包括32点 64点 128点 256点 512点 1024点。(Fourier transform can be successfully achieved, including 32 points 64 points 128 points 256 points 512 points 1024 points.)

基于规格化Hough变换的天波超视距雷达检测前跟踪算法(Hough transform based on the normalized horizon radar detection and tracking algorithms)

说明：  一个非常简小灵便的DICOM文件阅读器,支持多种格式的文件，支持图片的大多数编辑功能。(A very simple and handy DICOM file reader supports multiple formats of files and most editing functions of pictures.)

实现了基于压缩传感理论的超分辨率图像重构算法(Compressed sensing theory-based super-resolution image reconstruction algorithm)

积木效果显示图像

自己用python复现的NL-mean去噪，备注比较详细，便于理解原理； 之后会尝试复现更多图像领域的经典论文(The NL-mean reproduced by Python is used to denoise the noise. The notes are detailed and easy to understand the principle. We will try to reproduce more classical papers in the field of image.)

一种有效的全景图拼合预处理算法.适用于图像的拼接。是论文！(An effective pre-processing algorithm together panorama. Splicing applied to images. Is a thesis!)

提取一幅图像的LBP特征，输入为一幅图片，输出为一个256维的行向量，代表图像的LBP特征。(The LBP feature of an image is extracted, and input is a picture. The output is a 256 dimensional row vector, representing the LBP characteristic of the image.)