新建文件夹

实现对无噪声一维和二维信号的解缠，比较简单，入门级别(The realization of noise free one-dimensional and two-dimensional signal unwrapping is relatively simple, entry level.)

说明：  色彩转移法为灰度图像上色。实现paper“Transferring color to grayscale image”, 通过纹理匹配，找出灰度图像与彩色图像之间的匹配区域，在对应区域进行颜色转移。压缩包内附函数说明。(Color to grayscale color transfer method. To achieve paper &quot Transferring color to grayscale image&quot , by texture matching, gray images and color images to find the matching between the regions, the color shift in the corresponding area. Archive containing the function description.)

同轴数字全息图及其重建的MATLAB程序(In-line Digital hologram and reconstruction of MATLAB program)

说明：  彩色图像分割，灰常不错。This function implements kmeans clustering on an input RGB (m x n x 3) image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this function will step through an interactive color segmentation using kmeans clustering. It is interactive in that the user will be prompted to click-define the target colors in the segmentation.(This function implements kmeans clustering on an input RGB (m x n x 3) image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this function will step through an interactive color segmentation using kmeans clustering. It is interactive in that the user will be prompted to click-define the target colors in the segmentation.)

经典的Tarel去雾算法，可用于图像去雾的指标性能对比。(It is the classical dehazing algorithm, and it is can be used comparison with other algorithms.)

用图像分割的方法提取树叶病斑坏死区域并显示(Necrotic lesion leaves the region extraction method, and displays the image segmentation)

用PHD滤波的方法实现多目标跟踪，及对PHD滤波性能的检测。(PHD filter method using multi-target tracking, and performance testing for the PHD filter.)

fbp算法实现CT重建，包括不同投影个数、探测器个数和噪声对重建后图像的质量的影响。(FBP CT reconstruction algorithm, including the number of different projection, and the number of detector noise on the reconstructed image quality.)

使用GDAL库，用于遥感影像的特征点提取(Using the GDAL library, used for remote sensing image feature point extraction)

用matlab仿真图像超分辨率重建技术中的正则化处理方法(Simulation using matlab image super-resolution reconstruction of the regularization approach)