图像处理之图像分割

青木长生

469人浏览 · 2020-07-02 10:17:16

青木长生 · 2020-07-02 10:17:16 发布

图像阈值分割之图像二值化处理

阈值化分割的基本思想：设定阈值T，已知图像坐标(x,y)处的像素值为i(x,y)。如果i(x,y)>T,则i(x,y)=255，如果i(x,y)<=T,则i(x,y)=0。

#include<stdio.h>
#include<stdlib.h>
#include<iostream>
#include "cv.h"
#include "highgui.h"
int main(){
	    Mat Images = (cv::Mat_<uchar>(3,3)<<1,1,1,128,128,128,200,200,255);
	    int Threshold_value = 128;
	    (Images.setTo(255,Images > Threshold_value)).setTo(0,Images <= Threshold_value);
            return 0;
   }

逆取值阈值化分割的基本思想：设定阈值T，已知图像坐标(x,y)处的像素值为i(x,y)。如果i(x,y)>T,则i(x,y)=0，如果i(x,y)<=T,则i(x,y)=255。

#include<stdio.h>
#include<stdlib.h>
#include<iostream>
#include "cv.h"
#include "highgui.h"
int main(){
	    Mat Images = (cv::Mat_<uchar>(3,3)<<1,1,1,128,128,128,200,200,255);
	    int Threshold_value = 128;
            (Images.setTo(255,Images > Threshold_value)).setTo(0,Images <= Threshold_value);
            Images = ~Images;
            return 0;
   }

截断阈值化分割的基本思想：设定阈值T，已知图像坐标(x,y)处的像素值为i(x,y)。如果i(x,y)>T,则i(x,y)=T，如果i(x,y)<=T,则i(x,y)的值不变。

#include<stdio.h>
#include<stdlib.h>
#include<iostream>
#include "cv.h"
#include "highgui.h"
int main(){
	    Mat Images = (cv::Mat_<uchar>(3,3)<<1,1,1,128,128,128,200,200,255);
	    int Threshold_value = 128;
            Images.setTo(Threshold_value,Images > Threshold_value);
            return 0;
   }

置零阈值化分割的基本思想：设定阈值T，已知图像坐标(x,y)处的像素值为i(x,y)。如果i(x,y)>T,则i(x,y)的值不变，如果i(x,y)<=T,则i(x,y)=0。

#include<stdio.h>
#include<stdlib.h>
#include<iostream>
#include "cv.h"
#include "highgui.h"
int main(){
	    Mat Images = (cv::Mat_<uchar>(3,3)<<1,1,1,128,128,128,200,200,255);
	    int Threshold_value = 128;
            Images.setTo(0,Images <= Threshold_value);
            return 0;
   }

逆取值阈值化分割的基本思想：设定阈值T，已知图像坐标(x,y)处的像素值为i(x,y)。如果i(x,y)>T,则i(x,y)=0，如果i(x,y)<=T,则i(x,y)=255。

#include<stdio.h>
#include<stdlib.h>
#include<iostream>
#include "cv.h"
#include "highgui.h"
int main(){
	    Mat Images = (cv::Mat_<uchar>(3,3)<<1,1,1,128,128,128,200,200,255);
	    int Threshold_value = 128;
            Images.setTo(0,Images > Threshold_value);
            return 0;
   }