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Description: 采用％中值滤波％otsu 自动阈值计算％图像二值化％采用腐蚀的方法进行边缘检测-using median filter%% Otsu automatic threshold calculation% image binarization% of the corrosion methods Edge Detection
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Size: 1024 |
Author: 陈旭 |
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Description: 基于opencv的otsu阈值分割,根据最大类间方差原理,进行全局图像分类-Opencv based on the Otsu threshold segmentation, in accordance with the principle of maximum between-cluster variance for the overall image classification
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Size: 1024 |
Author: chenyuanlu |
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Description: 基于opencv的otsu阈值分割。C＋＋源代码加压缩备份-Opencv based on the Otsu threshold segmentation. C++ source code add compressed backup
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Size: 2048 |
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Description: 在VC＋＋6.0 已经openCV环境下的一维OTSU代码，实现图像二值化-// OTSU.h: interface for the COTSU class.
//
//////////////////////////////////////////////////////////////////////
#if !defined(AFX_OTSU_H__33C2086A_C181_490B_946D_837B4C7FB914__INCLUDED_)
#define AFX_OTSU_H__33C2086A_C181_490B_946D_837B4C7FB914__INCLUDED_
#if _MSC_VER > 1000
#pragma once
#endif // _MSC_VER > 1000
//---OpenCV Lib file-----------
#pragma comment (lib,"cv")
#pragma comment (lib,"highgui")
#pragma comment (lib, "cxcore")
//---gsl Lib file-----------
//#pragma comment (lib, "libgsl.a")
#include "cv.h"
#include "cxcore.h"
#include "highgui.h"
class COTSU
{
public:
IplImage* Binarize( IplImage* pImg, int nThreshold )
int Threshold()
void CalculateThresh( double* pHist, double dMean )
void GetThreshold( IplImage* pImg, CRect Rect )
COTSU()
virtual ~COTSU()
protected:
bool m_bDone
int m_nThreshold
}
#endif // !defined(AFX_OTSU_H__33C2086A_C181_490B_946D_837B4C7FB914__INCLUDED_)
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Size: 2048 |
Author: shaohu |
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Description:
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Size: 6270976 |
Author: sersery |
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Description: OPENCV下基于高斯混合模型的图像分割，程序中还有
基于大津法的图像分割和金子塔分割。-OPENCV Based on Gaussian mixture model of image segmentation, the program also includes Otsu method based on image segmentation and the segmentation pyramid.
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Size: 497664 |
Author: jiaojiao003 |
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Description: 利用opencv采集视频输入，并将输入的图像调用OTSU算法，提取运动目标-Using opencv capture video input, and input image is called OTSU algorithm to extract moving objects
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Size: 7168 |
Author: 闫礼飞 |
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Description: 基于opencv2.2的大津法分割，大津法是一种自适应的阈值分割方法，应用较广，按灰度特性，将图像分为背景和目标两部分，是二值化的图像。本代码需要先行安装opencv2.2-The Otsu method based opencv2.2 split, Otsu method is an adaptive thresholding method, used widely, according to the gray-scale features, the image is divided into two parts, the background and objectives, is the binary image. The code needs to be installed in opencv2.2
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Size: 6191104 |
Author: |
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Description: 基于Opencv的otsu自动阈值分割算法-The otsu Opencv based threshold segmentation algorithm automatically
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Size: 1024 |
Author: 周周 |
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Description: 基于opencv的，使用Otsu方法对灰度图像进行自适应二值化-using Otsu method to binary the gray image adaptively based on opencv
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Size: 1391616 |
Author: 杨振华 |
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Description: 基于OPENcv大津阈值分割运动目标检测方法的源代码- the code of otsu for moving goal detection based on opencv
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Size: 1024 |
Author: 彭雄婷 |
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Description: 本算法利用遗传算法根据otsu原则迭代计算得到图像的最优分割阈值。
使用了opencv库。-otsu use opencv
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Size: 11749376 |
Author: xy |
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Description: 最大类间方差法实现二值化，基于VC++平台的图像处理基本方法，使用OPENCV进行数据操作-The maximum between-class variance method to achieve binarization, VC++ platform-based image processing of the basic method of use OPENCV data manipulation
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Size: 1024 |
Author: 李宗阳 |
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Description: opencv大津法阈值分割，很不错的资料，共享一下，和大家共勉！-The opencv Otsu threshold segmentation, the very good information, sharing, and encourage one another!
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Size: 1024 |
Author: 桓董 |
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Description: 利用opencv做的关于otsu算法的目标识别程序，其实别主要基于颜色-Target recognition program using the opencv otsu algorithm, in fact, do not mainly based on the color
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Size: 3751936 |
Author: 齐齐 |
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Description: 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
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Size: 6144 |
Author: leodai |
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Description: Otsu in opencv
have main function
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Size: 2065408 |
Author: Lance Cheng |
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Description: 应用Opencv中的函数来实现大津算法，实现阈值的自适应获取，从而进行图像分割。-Otsu，image segmentation
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Size: 300032 |
Author: 李一 |
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Description: 基于OpenCV和VC6.0的阈值分割 含Otsu法，一维交叉熵值法
，二维OTSU法
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Size: 226616 |
Author: 250762094@qq.com |
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Description: opencv做的otsu方法,一、Otsu算法原理
Otsu算法（大津法或最大类间方差法）使用的是聚类的思想，把图像的灰度数按灰度级分成2个部分，使得两个部分之间的灰度值差异最大，每个部分之间的灰度差异最小，通过方差的计算来寻找一个合适的灰度级别来划分。 所以可以在二值化的时候采用otsu算法来自动选取阈值进行二值化。otsu算法被认为是图像分割中阈值选取的最佳算法，计算简单，不受图像亮度和对比度的影响。因此，使类间方差最大的分割意味着错分概率最小。
设t为设定的阈值。(otsu made by opencv,which is used in photo decoraction.)
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Size: 6308864 |
Author: lookakid
|
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