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mixture_of_gaussians
混合高斯模型提取视频帧前景背景图像，经试验验证准确率比较高(Mixed gaussian model to extract video frame prospects background image)
- 2015-04-02 16:53:31下载
- 积分：1
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Saliency-Detection
介绍了一种显著性检测，程序可以直接运行，可以得到显著图像，有图像源。(propose a bottom-up visual saliency detection algorithm. Different most previous methods that mainly concentrate on image object, we take both background and foreground into consideration. )
- 2021-05-07 23:31:36下载
- 积分：1
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pcacode
程序设计步骤：
1、去均值
2、计算协方差矩阵及其特征值和特征向量
3、计算协方差矩阵的特征值大于阈值的个数
4、降序排列特征值
5、去掉较小的特征值
6、去掉较大的特征值(一般没有这一步）
7、合并选择的特征值
8、选择相应的特征值和特征向量
9、计算白化矩阵
10、提取主分量(Programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)
- 2008-07-14 16:25:23下载
- 积分：1
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实验一
说明： 像素与图像基本指标—彩色图像的基本信息、像素颜色值、图像的大小、矩阵形式等、对灰度图像计算有关统计参数：（1）图像的大小；（2）图像的灰度平均值；（3）图像的自协方差；（4）图像的灰度标准差、对图像进行45度，19度，98度等任意角度的旋转，并计算原图与旋转后图像的相关系数和协方差矩阵(Pixel and Basic Index of Image)
- 2019-04-07 16:01:00下载
- 积分：1
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opencv-otsu
Opencv处理图像，用ostu法实现图像的二值化(Opencv image processing, using ostu method to achieve image binarization)
- 2013-07-21 16:00:03下载
- 积分：1
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功能很全的车牌识别系统源码
车牌识别。系统界面包括车牌图像预处理、定位、矫正、分割、识别等各个步骤的结果显示；显示包括待识别车辆和处理结果图像或数据(License plate recognition. System interface includes license plate image preprocessing, positioning, correction, segmentation, recognition and other steps of the results display; display includes the vehicle to be identified and processing results images or data)
- 2021-04-15 15:48:54下载
- 积分：1
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Gabor_GLM_FEX
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).)
- 2017-05-11 12:25:03下载
- 积分：1
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MATLABtxpz
说明： matlab图像配准算法，确定归一化互相关最大值及其位置，利用相关找到的偏移量，判断两幅图是否相同。(MATLAB image registration algorithm determines the maximum normalized cross-correlation and its location, and uses the offset found by correlation to determine whether the two images are the same.)
- 2019-03-21 19:40:08下载
- 积分：1
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zxscsPrimsuanfa
关于图像分割的一个代码，最小生成树Prim算法，能够实现相应功能，拿出来与大家共享(Image Segmentation on a code, Prim minimum spanning tree algorithm, can achieve the corresponding functions, and show to share with you)
- 2008-04-25 19:26:52下载
- 积分：1
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level-set-paper
水平集方法及其在图像分割中的应用研究。09年中科大的博士论文，很详细的讲解了水平集在图像分割中的应用(Level set method and its application in image segmentation study. Cultivation of doctoral thesis in 2009, a very detailed explanation of the level set image segmentation in)
- 2011-11-22 12:07:01下载
- 积分：1
