Fractal-Interpolation

批量的将图像转为tif格式，界面方面操作，放在ENVI的安装路径下即可(convert different format of image to .tiff)

图像分割 画红线分割 实现图像矩阵的分块 非常简便(Draw the red line segmentation of image segmentation is very simple block matrix)

MATLAB数字图像处理，图像加噪声处理(MATLAB digital image processing, image plus noise deal)

CANNY算子的非极大值抑制步骤，使用插值计算，支持不同的抑制半径(Non-maxima suppression step CANNY Operators using interpolation, support different radii suppression)

传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)

图像反卷积 来自D. Krishnan, R. Fergus中提到的方法(image deconvolution The Matlab functions in this directory solve the deconvolution problem in the paper D. Krishnan, R. Fergus: "Fast Image Deconvolution using Hyper-Laplacian Priors", Proceedings of NIPS 2009. )

经典的图像处理常用图片，包括Lina，Barbana, Cameraman(Classic image processing commonly used pictures, including Lina, Barbana, Cameraman)

ViBe算法是由Olivier Barnich 和 Marc Van Droogenbroeck在2011年提出的一种背景建模方法。该算法采用邻域像素来创建背景模型，通过比对背景模型和当前输入像素值来检测前景.(ViBe algorithm is a background modeling method proposed by Olivier Barnich and Marc Van Droogenbroeck in 2011. The neighborhood pixels are used to create the background model, and the foreground is detected by comparing the background model and the current input pixel values)

该算法为距离-多普勒成像算法，针对场景的多散射点目标录取回波数据，采用匹配滤波的方法实现距离向与方位向的压缩，识别出目标并得到其位置信息。(The algorithm is range Doppler imaging algorithm, aiming at the multi scattering scene target extracting echo data, matched filtering method was used to realize the distance and azimuth compression, identify the target and its location information.)

标准GS相位恢复算法，利用傅里叶变换与反变换进行逼近，直至收敛，误差下降算法。(Standard GS phase recovery algorithm, using Fourier transform and inverse transform approximation, until convergence, error reduction algorithm.)