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Description: 指纹程序,用语指纹图象的处理以及识别-fingerprinting procedures, terminology fingerprint image processing and recognition
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Size: 1024 |
Author: cui |
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Description: 实现车牌的定位分割功能，用来交流，大家可以-The positioning plate to achieve partition function, to exchange, we can try
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Size: 1024 |
Author: 哈哈 |
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Description: Binarize image , contras image , histogram image -Binarize image , contras image , histogram image
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Size: 1024 |
Author: khalid2304 |
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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_)
Platform: |
Size: 2048 |
Author: shaohu |
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Description: source code to binarize image
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Size: 1024 |
Author: ritu_me |
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Description: 固定阈值以及其他几个简单的二值化阈值方法-Fixed threshold, as well as a few other simple binarization threshold method
Platform: |
Size: 3072 |
Author: 范喜杰 |
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Description: This code binarize a grey image using OTSU Binarization
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Size: 5120 |
Author: shamita ghosh |
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Description: Java project that convert image to gray level, binarize it and apple moore neighbor contour detection
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Size: 40960 |
Author: Hosny |
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Description: 基于对话框的位图变换，包括二值化，旋转，bmp转jpg，24位转8位-based on dialog of MFC，binarize and rotate and bmp to jpg and bitcount 24 to 8
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Size: 4220928 |
Author: 永恒之夜 |
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Description: it s howa to load a pic form personal computer and make enhancement, binarize and filtered to be used in fingerprint recognition
Platform: |
Size: 60416 |
Author: Basem |
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Description: it binarize the given image
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Size: 2048 |
Author: rakesh verma |
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Description: Software to binarize images(color/grey image to halftone/B&W image).
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Size: 286720 |
Author: ce |
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Description:
Dimage gray scake binarize udiong otsu algo in linux environment .
Platform: |
Size: 1024 |
Author: dhruba123 |
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Description:
Dimage gray scake binarize using range specification in linux environment .-
Dimage gray scake binarize using range specification in linux environment .
Platform: |
Size: 1024 |
Author: dhruba123 |
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Description:
image gray scake binarize in linux environment-
image gray scake binarize in linux environment
Platform: |
Size: 2048 |
Author: dhruba123 |
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Description: 使用C++编程语言，开发了“单壁碳纳米管手性矢量识别系统”软件。软件处理结果显示:采用最大类间方差法二值化单壁碳纳米管STM图像，能够保留较多单壁碳纳米管的六边形拓扑结构信息；采用本文设计的射线探测加权法能够快速、准确的识别出六边形碳环的中心。-The processing result with the software indicated more topology structure information could be reserved, when maximal variance between-class method and minimum bias-normal distribution index method were employed to binarize the STM images of SWCNTs. We designed detect weighing method, which was adopted to recognize the centers of hexagon rings rapidly.
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Size: 17282048 |
Author: wangmaofa |
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Description: The image "cameraman.tif" will be binarize with the classic OTSU algortithm. At the same time, the histogram will be shown
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Size: 1024 |
Author: bkbiet |
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Description: Function to binarize images for artificial vision
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Size: 1024 |
Author: juamed |
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Description: The basic steps of the connected-component text extraction algorithm are given below,
and diagrammed in Figure 10. The details are discussed in the following sections.
1. Convert the input image to YUV color space. The luminance(Y) value is used for
further processing. The output is a gray image.
2. Convert the gray image to an edge image.
3. Compute the horizontal and vertical projection profiles of candidate text regions
using a histogram with an appropriate threshold value.
4. Use geometric properties of text such as width to height ratio of characters to
eliminate possible non-text regions.
5. Binarize the edge image enhancing only the text regions against a plain black
background.
6. Create the Gap Image (as explained in the next section) using the gap-filling
process and use this as a reference to further eliminate non-text regions the
output.
-The basic steps of the connected-component text extraction algorithm are given below,
and diagrammed in Figure 10. The details are discussed in the following sections.
1. Convert the input image to YUV color space. The luminance(Y) value is used for
further processing. The output is a gray image.
2. Convert the gray image to an edge image.
3. Compute the horizontal and vertical projection profiles of candidate text regions
using a histogram with an appropriate threshold value.
4. Use geometric properties of text such as width to height ratio of characters to
eliminate possible non-text regions.
5. Binarize the edge image enhancing only the text regions against a plain black
background.
6. Create the Gap Image (as explained in the next section) using the gap-filling
process and use this as a reference to further eliminate non-text regions the
output.
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Size: 41984 |
Author: Lee Kurian |
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Description: this matlab code to binarize the given rgb image by using ostus algorthem-this is matlab code to binarize the given rgb image by using ostus algorthem
Platform: |
Size: 3072 |
Author: hari |
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