image-enhancement

利用图像处理的方法实现图像二值化，实现了图像的调幅加网，加网角度是18.4度。这就方便了图像的调幅加网输出。(The use of image processing method of image binarization realize, realize the image of AM screening, screening angle is 18.4 degrees. This facilitates the image output of AM screening.)

这篇论文对于Gabor小波分析的说明特别详细，非常有利于我们理解(This paper is particularly detailed for the description of Gabor wavelet analysis, which is very helpful to our understanding.)

说明：  基于计算机断层扫描技术的正弦图，使用滤波反投影算法重建图像(filter back projection reconstruct)

说明：  计算机视觉，CCD相机标定程序,很好用！(Computer vision, CCD camera calibration procedures, very good use!)

jpeg图像压缩和解压缩过程，使用的哈弗曼表包含于程序中，内有详细的文件说明(jpeg image compression and decompression process, the use of Huffman tables included in the program, with detailed documentation)

关于图像分割中分水岭的一个代码，能够实现相应功能，拿出来与大家共享(Image segmentation in the watershed on a code, can achieve the corresponding functions, and show to share with you)

基于GEE平台，landsat影像的随机森立法土地覆盖分类(Land cover classification based on the random son legislation based on the GEE platform.)

建立在Moravec算子基础上提取特征点后与另外一幅图像进行匹配计算，并输出特征点对应的匹配点像素坐标

一种自适应chirplet分解的快速算法 针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (Chirplet an adaptive decomposition algorithm for rapid adaptive signal decomposition Chirplet many unknown parameters, is more difficult to achieve the characteristics of the literature [1] proposed a new fast algorithm Chirplet decomposition. The algorithm calculating the signal function of the second phase, its energy distribution to be concentrated in the signal modulation frequency curve on the conclusions, this time through the spectral peak detection can be obtained simultaneously Chirplet tune the frequency, timing and magnitude of the estimated center then through the solution line technology of FM frequency and the width of the initial estimates, the simulation results verify the effectiveness of the algorithm.)

盲去卷积复原图像的示例翻译，加入了中文标注，效果较好(deconvblind)