ONSL0

说明：  对图像进行RGB、HSV单通道分离，滤波，合并。(Single-channel filtering and merging of images)

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).)

图像几何校正中的绝对变换使用matlab编程(Absolute transformation in image geometric correction using MATLAB programming)

用于图像特征提取的基于gabor小波变换，进行各种特征提取(Gabor wavelet transform for image feature extraction for various feature extraction)

拐点的检测，对一个图像的拐点进行检测，使用的是freeman链码的方法，检测图像中拐点的方向，确定该方向是不是拐点。(Inflection point detection, an image of the inflection point for testing, use freeman chain code method, testing the image in the direction of the inflection point, we determine the direction is inflection point. )

compute the root-mean-square error

小波去噪算法，包含多种小波去噪去噪，强制去噪、软阈值去噪、硬阈值去噪(Wavelet denoising algorithm that contains a variety of wavelet denoising denoising forced denoising, soft thresholding and hard threshold denoising )

基于matlab的进行鸡蛋形状特征提取的程序，能提取鸡蛋裂缝区域的形状特征(Matlab based on the conduct of an egg shape feature extraction procedure can extract the shape of an egg cracks in the regional characteristics of)

相位编组算法实现纹理边缘的直线检测.用于快速直线提取(Phase Group texture edge detection algorithm to achieve a straight line. For fast line extraction)

Transferring color to greyscale images的原文及源代码，包括详细的测试图像以及相应的论文及源代码，是学习图像色采转移必看的经典内容。(Transferring color to greyscale images of the original text and source code, including detailed test image and the corresponding papers and source code is studying the image to see the classic color adopted transfer content.)