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图像融合代码
说明： 整理了五种多曝光图像融合的代码，用于图像处理，图像去雾，有英文介绍(Five kinds of multi-exposure image fusion codes are sorted out.For image processing, image defogging, with English introduction)
- 2021-02-18 15:39:45下载
- 积分：1
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MCodes
Lung Cancer Detection Using Image Processing Techniques
- 2013-07-01 13:34:04下载
- 积分：1
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e6cd928b84ea4623aca21256bc4633e6
说明： pca 主成分分析c 代码和原理文档。。。。(PCA principal component analysis c code and principle document.)
- 2020-06-17 23:40:02下载
- 积分：1
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gentleBoost
说明： 这是国外某人写的开放gentel boost的源码，可用于基本的物体检测(This is a foreign person to write gentel boost open source code can be used to detect the basic objects)
- 2008-08-26 16:15:47下载
- 积分：1
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捷宇 高拍仪 demo SDK
捷宇 高拍仪 demo SDK
- 2019-09-02下载
- 积分：1
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icaML
说明： 用最大相似性方法实现独立分量分析算法的matlab代码，可用于盲信号处理和图像滤波器构造。(with the greatest similarity method independent component analysis algorithm Matlab code can be used to blind signal processing and image filter structure.)
- 2005-10-09 23:23:55下载
- 积分：1
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svd_nosie_removing
说明： 用奇异值分解（SVD）的方法进行噪声去除( noise removing by SVD analysis)
- 2010-04-22 19:04:51下载
- 积分：1
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GEI
求质心到图像轮廓边缘的距离，并将其用figure表示出来(The distance from the center of mass to the edge of the image contour)
- 2021-03-22 10:59:17下载
- 积分：1
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基于OPENCV的SIFT特征提取与匹配算法
OPENCV_SIFT_VC6
基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现，对全面深入理解Lowe的SIFT算法有莫大帮助。程序运行前须安装（1）OpenCV: http://opencvlibrary.sourceforge.net
（2）SIFT: http://web.engr.oregonstate.edu/~hess/index.html，并配置其环境参数。(OPENCV the SIFT-based feature extraction and matching algorithm. Contains a complete Gaussian pyramid from the image, DOG, space extremum point extraction, description of key points, KDtree matching key step in the realization of the full function of the comprehensive and in-depth understanding of Lowe s SIFT algorithm of tremendous help. Program to run before the installation of (1) OpenCV: http://opencvlibrary.sourceforge.net (2) SIFT: http://web.engr.oregonstate.edu/ ~ hess/index.html, and configure the parameters of their environment.)
- 2020-06-26 03:00:02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
