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imagealg.cpp
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imagealg.cpp
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#include "imagealg.h"
#include"QDebug"
#include"QVector"
#include <QtAlgorithms>
ImageAlg::ImageAlg()
{
}
//x中心位置,i偏移量
//为了消除黑边 参考文章 https://blog.csdn.net/Mahabharata_/article/details/69066942
int ImageAlg::judgeEdge(int x, int i, int width)
{
//nx现在矩阵中的位置
int nx=x+i;
//修正位置
if(nx>=width||nx<0)nx-=i;
return nx;
}
void ImageAlg::Image2Gray(QImage& Image)
{
qDebug()<<"ok";
for(int y=0;y<Image.height();y++)
{
QRgb *pixel=(QRgb*)Image.scanLine(y);
for(int x=0;x<Image.width();x++)
{
// qRed(pixel[x])*0.3+qGreen(pixel[x])*0.59+qBlue(pixel[x])*0.11
int r=qRed(pixel[x]);
int g=qGreen(pixel[x]);
int b=qBlue(pixel[x]);
int avg=(r+g+b)/3;
//平均法取灰度
Image.setPixel(x,y,qRgb(avg,avg,avg));
// 加权法取灰度
// Image.setPixel(x,y,qRgb(qGray(r,g,b),qGray(r,g,b),qGray(r,g,b)));
}
}
}
void ImageAlg::ImageEqual(QImage &Image)
{
int width,height;
width=Image.width();
height=Image.height();
QRgb *pixel;
//读入数据,并直接转换成概率形式
float rlist[256],glist[256],blist[256];
int rdict[256],gdict[256],bdict[256];//均衡化后对应像素的值
memset(rlist,0,sizeof(rlist));
memset(glist,0,sizeof(glist));
memset(blist,0,sizeof(blist));
//获取原图各个灰度的数量
for(int y=0;y<height;y++)
{
//一次读取一行数据
pixel=(QRgb*)Image.scanLine(y);
for(int x=0;x<width;x++)
{
rlist[qRed(pixel[x])]++;
glist[qGreen(pixel[x])]++;
blist[qBlue(pixel[x])]++;
}
}
rlist[0]/=width*height;
glist[0]/=width*height;
blist[0]/=width*height;
//获取原图各个灰度级的概率
for(int i=1;i<256;i++)
{
rlist[i]/=(width*height);
rlist[i]+=rlist[i-1];
glist[i]/=(width*height);
glist[i]+=glist[i-1];
blist[i]/=(width*height);
blist[i]+=blist[i-1];
}
//生成直方图查找表
for(int i=0;i<256;i++)
{
rdict[i]=int(rlist[i]*255+0.5);
gdict[i]=int(glist[i]*255+0.5);
bdict[i]=int(blist[i]*255+0.5);
}
int nr,ng,nb;
//更新像素点
for(int y=0;y<height;y++)
{
//一次读取一行数据
pixel=(QRgb*)Image.scanLine(y);
for(int x=0;x<width;x++)
{
//注意这里要取到pixel值时要加qRed获取到int值,不然会越界
nr=rdict[qRed(pixel[x])];
ng=gdict[qGreen(pixel[x])];
nb=bdict[qBlue(pixel[x])];
Image.setPixel(x,y,qRgb(nr,ng,nb));
}
}
}
void ImageAlg::ImageSmooth(QImage& Image)
{
//---------------------------------------------------------------------------------
// //两种方法
// double kernel[3][3]={{0.1,0.1,0.1},{0.1,0.2,0.1},{0.1,0.1,0.1}};
// int kernelSize=3;
// int sumKernel=1; //(-1)+(-1)+5+(-1)+(-1)
// int r,g,b;
// QColor color;
// QImage Image2=Image;
// for(int x=kernelSize/2;x<Image.width()-(kernelSize/2);x++){
// for(int y=kernelSize/2;y<Image.height()-(kernelSize/2);y++){
// r=0;
// g=0;
// b=0;
// for(int i=-kernelSize/2;i<=kernelSize/2;i++){
// for(int j=-kernelSize/2;j<=kernelSize/2;j++){
// color=QColor(Image.pixel(x+i,y+j));
// r +=color.red()*kernel[kernelSize/2+i][kernelSize/2+j];
// g += color.green()*kernel[kernelSize/2+i][kernelSize/2+j];
// b += color.blue()*kernel[kernelSize/2+i][kernelSize/2+j];
// }
// }
// //将值域限制到[0,255]
// r = qBound(0, r/sumKernel, 255);
// g = qBound(0, g/sumKernel, 255);
// b = qBound(0, b/sumKernel, 255);
// Image2.setPixel(x,y, qRgb(r,g,b));
// }
// }
// Image=Image2;
//---------------------------------------------------------------------------------
//---------------------------------------------------------------------------------
//自己写的算法
//读入某些图片会提示像素点越界
// double kernel[]={0.1,0.1,0.1,0.1,0.2,0.1,0.1,0.1,0.1};
double kernel[]={1,1,1,1,1,1,1,1,1};
int size=1;
int H=Image.height();
int W=Image.width();
// Image.setPixel(W-1,H-1,qRgb(0,0,0));
int sumKernel=0;
for(int i=0;i<9;i++)sumKernel+=kernel[i];
QImage tImage=Image;
int tr,tg,tb;
QColor tColor;
int nx=0;
int ny=0;
//!!!这里虽然理论上上从0~H-1,0~W-1遍历能完整的处理图像,但实际上如果写for(int y=0;y<H;y++)的话
//! 会弹出警告,QImage::pixel: coordinate (607,603) out of range,提示最后一行越界,但程序会正常运行
//! 如果不处理最后一行 则不会弹出警告。
for(int y=0;y<H-1;y++)
{
for(int x=0;x<W-1;x++)
{
tr=tg=tb=0;
//进行卷积 i行 j列
for(int i=-size;i<=size;i++)
{
for(int j=-size;j<=size;j++)
{
nx=judgeEdge(x,i,W);
ny=judgeEdge(y,j,W);
tColor=QColor(Image.pixel(nx,ny));
tr+=tColor.red()*kernel[(i+1)*3+j+1];
tg+=tColor.green()*kernel[(i+1)*3+j+1];
tb+=tColor.blue()*kernel[(i+1)*3+j+1];
}
}
tr = qBound(0, tr/sumKernel, 255);
tg = qBound(0, tg/sumKernel, 255);
tb = qBound(0, tb/sumKernel, 255);
tImage.setPixel(x,y,qRgb(tr,tg,tb));
}
}
Image=tImage;
//---------------------------------------------------------------------------------
}
void ImageAlg::ImageSharpen(QImage &Image)
{
//读入某些图片会提示像素点越界 ! 不处理最后一行即可
//---------------------------------------------------------------------------------
int kernel[]={0,-1,0,-1,5,-1,0,-1,0};
int size=1;
int H=Image.height();
int W=Image.width();
QImage tImage=Image;
int tr,tg,tb;
QColor tColor;
int nx=0;
int ny=0;
for(int y=0;y<H-1;y++)
{
for(int x=0;x<W-1;x++)
{
tr=tg=tb=0;
//进行卷积 i行 j列
for(int i=-size;i<=size;i++)
{
for(int j=-size;j<=size;j++)
{
nx=judgeEdge(x,i,W);
ny=judgeEdge(y,j,W);
tColor=QColor(Image.pixel(nx,ny));
tr+=tColor.red()*kernel[(i+1)*3+j+1];
tg+=tColor.green()*kernel[(i+1)*3+j+1];
tb+=tColor.blue()*kernel[(i+1)*3+j+1];
}
}
tr = qBound(0, tr, 255);
tg = qBound(0, tg, 255);
tb = qBound(0, tb, 255);
tImage.setPixel(x,y,qRgb(tr,tg,tb));
}
}
Image=tImage;
//---------------------------------------------------------------------------------
//---------------------------------------------------------------------------------
// //滤波器
// int kernel[3][3]={{0,-1,0},{-1,5,-1},{0,-1,0}};
// int kernelSize=3;
// int sumKernel=1; //(-1)+(-1)+5+(-1)+(-1)
// int r,g,b;
// QColor color;
// QImage Image2=Image;
// for(int x=kernelSize/2;x<Image.width()-(kernelSize/2);x++){
// for(int y=kernelSize/2;y<Image.height()-(kernelSize/2);y++){
// r=0;
// g=0;
// b=0;
// for(int i=-kernelSize/2;i<=kernelSize/2;i++){
// for(int j=-kernelSize/2;j<=kernelSize/2;j++){
// color=QColor(Image.pixel(x+i,y+j));
// r +=color.red()*kernel[kernelSize/2+i][kernelSize/2+j];
// g += color.green()*kernel[kernelSize/2+i][kernelSize/2+j];
// b += color.blue()*kernel[kernelSize/2+i][kernelSize/2+j];
// }
// }
// //将值域限制到[0,255]
// r = qBound(0, r/sumKernel, 255);
// g = qBound(0, g/sumKernel, 255);
// b = qBound(0, b/sumKernel, 255);
// Image2.setPixel(x,y, qRgb(r,g,b));
// }
// }
// Image=Image2;
//---------------------------------------------------------------------------------
}
void ImageAlg::ImageEdgeDetection(QImage &Image)
{
//---------------------------------------------------------------------------------
// int kernelx[]={-1,-2,-1,0,0,0,1,2,1};
// int kernely[]={-1,0,1,-2,0,2,-1,0,1};
// int size=1;
// int H=Image.height();
// int W=Image.width();
// // int sumKernel=1;
// // for(int i=0;i<9;i++)sumKernel+=kernel[i];
// QImage tImage=Image;
// int tr,tg,tb;
// QColor tColor;
// int nx=0;
// int ny=0;
// for(int y=0;y<H;y++)
// {
// for(int x=0;x<W;x++)
// {
// tr=tg=tb=0;
// //进行卷积 i行 j列
// for(int i=-size;i<=size;i++)
// {
// for(int j=-size;j<=size;j++)
// {
// nx=judgeEdge(x,i,W);
// ny=judgeEdge(y,j,W);
// tColor=QColor(Image.pixel(nx,ny));
// tr+=tColor.red()*kernely[(i+1)*3+j+1];
// tg+=tColor.green()*kernely[(i+1)*3+j+1];
// tb+=tColor.blue()*kernely[(i+1)*3+j+1];
// }
// }
// tr = qBound(0, tr, 255);
// tg = qBound(0, tg, 255);
// tb = qBound(0, tb, 255);
// tImage.setPixel(x,y,qRgb(tr,tg,tb));
// }
// }
// for(int y=0;y<H;y++)
// {
// for(int x=0;x<W;x++)
// {
// tr=tg=tb=0;
// //进行卷积 i行 j列
// for(int i=-size;i<=size;i++)
// {
// for(int j=-size;j<=size;j++)
// {
// nx=judgeEdge(x,i,W);
// ny=judgeEdge(y,j,W);
// tColor=QColor(Image.pixel(nx,ny));
// tr+=tColor.red()*kernelx[(i+1)*3+j+1];
// tg+=tColor.green()*kernelx[(i+1)*3+j+1];
// tb+=tColor.blue()*kernelx[(i+1)*3+j+1];
// }
// }
// tr = qBound(0, tr, 255);
// tg = qBound(0, tg, 255);
// tb = qBound(0, tb, 255);
// tImage.setPixel(x,y,qRgb(tr,tg,tb));
// }
// }
// Image=tImage;
//---------------------------------------------------------------------------------
//---------------------------------------------------------------------------------
int kernel[3][3]={{-1,0,-1},{-2,0,2},{-1,0,1}};
int kernelx[3][3]={{-1,-2,-1},{0,0,0},{1,2,1}};
int kernelSize=3;
int sumKernel=1; //(-1)+(-1)+5+(-1)+(-1)
int r,g,b;
QColor color;
QImage Image2=Image;
for(int x=kernelSize/2;x<Image.width()-(kernelSize/2);x++){
for(int y=kernelSize/2;y<Image.height()-(kernelSize/2);y++){
r=0;
g=0;
b=0;
for(int i=-kernelSize/2;i<=kernelSize/2;i++){
for(int j=-kernelSize/2;j<=kernelSize/2;j++){
color=QColor(Image.pixel(x+i,y+j));
r +=color.red()*kernel[kernelSize/2+i][kernelSize/2+j];
g += color.green()*kernel[kernelSize/2+i][kernelSize/2+j];
b += color.blue()*kernel[kernelSize/2+i][kernelSize/2+j];
}
}
//将值域限制到[0,255]
r = qBound(0, r/sumKernel, 255);
g = qBound(0, g/sumKernel, 255);
b = qBound(0, b/sumKernel, 255);
Image2.setPixel(x,y, qRgb(r,g,b));
}
}
for(int x=kernelSize/2;x<Image.width()-(kernelSize/2);x++){
for(int y=kernelSize/2;y<Image.height()-(kernelSize/2);y++){
r=0;
g=0;
b=0;
for(int i=-kernelSize/2;i<=kernelSize/2;i++){
for(int j=-kernelSize/2;j<=kernelSize/2;j++){
color=QColor(Image.pixel(x+i,y+j));
r +=color.red()*kernelx[kernelSize/2+i][kernelSize/2+j];
g += color.green()*kernelx[kernelSize/2+i][kernelSize/2+j];
b += color.blue()*kernelx[kernelSize/2+i][kernelSize/2+j];
}
}
//将值域限制到[0,255]
r = qBound(0, r/sumKernel, 255);
g = qBound(0, g/sumKernel, 255);
b = qBound(0, b/sumKernel, 255);
Image2.setPixel(x,y, qRgb(r,g,b));
}
}
Image=Image2;
//---------------------------------------------------------------------------------
}
void ImageAlg::ImageGaussianBlur(QImage &Image)
{
// double kernel[3][3]={{0.1,0.1,0.1},{0.1,0.2,0.1},{0.1,0.1,0.1}};
// int kernelSize=3;
// int sumKernel=1; //(-1)+(-1)+5+(-1)+(-1)
double kernel[5][5]={
{1,4,7,4,1},
{4,16,26,16,4},
{7,26,41,26,7},
{4,16,26,16,4},
{1,4,7,4,1}
};
int kernelSize=5;
int sumKernel=273; //(-1)+(-1)+5+(-1)+(-1)
int r,g,b;
QColor color;
QImage Image2=Image;
for(int x=kernelSize/2;x<Image.width()-(kernelSize/2);x++){
for(int y=kernelSize/2;y<Image.height()-(kernelSize/2);y++){
r=0;
g=0;
b=0;
for(int i=-kernelSize/2;i<=kernelSize/2;i++){
for(int j=-kernelSize/2;j<=kernelSize/2;j++){
color=QColor(Image.pixel(x+i,y+j));
r +=color.red()*kernel[kernelSize/2+i][kernelSize/2+j];
g += color.green()*kernel[kernelSize/2+i][kernelSize/2+j];
b += color.blue()*kernel[kernelSize/2+i][kernelSize/2+j];
}
}
//将值域限制到[0,255]
r = qBound(0, r/sumKernel, 255);
g = qBound(0, g/sumKernel, 255);
b = qBound(0, b/sumKernel, 255);
Image2.setPixel(x,y, qRgb(r,g,b));
}
}
Image=Image2;
}
void ImageAlg::ImageMedianFilter(QImage &Image)
{
//3X3大小空间,排序所有的像素,然后取中间值
QVector<int>RV;
QVector<int>GV;
QVector<int>BV;
int size=1;
int H=Image.height();
int W=Image.width();
QImage tImage=Image;
QColor tColor;
int nx=0;
int ny=0;
for(int y=0;y<H;y++)
{
for(int x=0;x<W;x++)
{
RV.clear();
GV.clear();
BV.clear();
//取到3X3窗口内的像素值
for(int i=-size;i<=size;i++)
{
for(int j=-size;j<=size;j++)
{
nx=judgeEdge(x,i,W);
ny=judgeEdge(y,j,W);
tColor=QColor(Image.pixel(nx,ny));
RV.append(tColor.red());
GV.append(tColor.green());
BV.append(tColor.blue());
}
}
qSort(RV.begin(),RV.end());
qSort(GV.begin(),GV.end());
qSort(BV.begin(),BV.end());
tImage.setPixel(x,y,qRgb(RV[4],GV[4],BV[4]));
}
}
Image=tImage;
}
void ImageAlg::ImageSalt(QImage &Image)
{
QImage tImage=Image;
const int num=1000;
int x,y;
for(int i=0;i<num;i++)
{
x=(int)rand()%tImage.width();
y=(int)rand()%tImage.height();
if(tImage.allGray())
{
tImage.setPixel(x,y,qGray(255));
}
else
{
tImage.setPixel(x,y,qRgb(255,255,255));
}
}
Image=tImage;
}