deinterlace

基于fcm的图像分割方法，效果好，希望能给大家提供一些建议。(FCM-based image segmentation method, the effect of good, I hope everyone can offer some suggestions.)

用共轭梯度下降算法 求解图像压缩感知 并进行比较(Conjugate gradient descent algorithm for image compression and compared perception)

外国人写的图像融合处理工具以及GUI界面 源代码 相信会对你有所帮助(foreigners write image-processing tools and the integration of the GUI interface believe that the source code will help you)

用于高光谱图像处理的最小噪声分离变换方法。(HYPERMNF Performs the minimum noise fraction (MNF) transform hyperMnf performs the minimum noise fraction (MNF) transform on the data and uses spatial (row) offsets of the data to estimate the covariance matrix of the data. Usage )

简易二值化演示易语言源码，例程程序使用嵌套循环改变画板颜色演示了图像二值化的简单过程。(Simple binary demonstrate easy language source code , a routine procedure uses nested loop Sketchpad color change demonstrates the binary image of a simple process .)

GM(1,1)的程序,要用就下啥,可以预测的,里面有详细的说明,很容易看懂的！,(GM (1, 1) program, want to use is what, predictable, there are detailed instructions, it is easy to understand!)

视网膜血管检测的Gabor变换和机器学习，教程 本教程将演示如何Gabor变换和广义 的线性模型（GLM）可用于视网膜血管检测 图像。 ，我们将尝试检测视网膜血管从 的训练图像，首先，Gabor滤波器与图像卷积。 GLM将使用Gabor变换的图像特征确定 （独立变量）和容器的位置 为结果（因变量）。( Retinal Vessel Detection by Gabor Transform and Machine Learning, a Tutorial This tutorial will demonstrate how Gabor transforms and generalized linear model (GLM) can be used for detection of retinal vessels in images. Specifically, we will attempt to detect the retinal vessels a training image , by first, convoluting multiple Gabor filters with the image. A GLM will be determined using the Gabor transformed images as features (the independent variables), and the locations of the vessels as the outcome (the dependent variable).)

傅里叶变换可以有效的说明傅里叶变换的基本步骤(kkkfuliyebianhuan)

基于LEE滤波的极化SAR去噪 matlab实现(jiyu lee lvbo jihua SAR matlab)

经典复合式指纹细化算法源码，算法步骤为先用快速并行算法遍历，后用OPTA算法遍历，附有注释。(Classic composite fingerprint thinning algorithm source code, for the first step of the algorithm with fast parallel algorithm traversal traversal algorithm after using OPTA, annotated.)