读取bmp图像所有像素点的RGB值的函数实现.docx

读取bmp图像所有像素点的RGB值的函数实现.docx

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读取bmp图像所有像素点的RGB值的函数实现

读取bmp图像所有像素点的RGB值的函数实现：

voidpixHandle（char*bmpName）

{

intr[bmpHeight][bmpWidth];

intg[bmpHeight][bmpWidth];

intb[bmpHeight][bmpWidth];

readBmp（bmpName）;

cout<<"width="<

<<"height="<

<<"BitCount="<

intlineByte=（bmpWidth*biBitCount/8+3）/4*4;

intn=0;

if（biBitCount==8）//灰度图像

{

for（inti=0;i

{

for（intj=0;j

{

r[i][j]=*（pBmpBuf+i*lineByte+j）;

g[i][j]=*（pBmpBuf+i*lineByte+j）;

b[i][j]=*（pBmpBuf+i*lineByte+j）;

n++;

}

}

}

elseif（biBitCount==24）//彩色图像

{

for（inti=0;i

{

for（intj=0;j

{

for（intk=0;k<3;k++）

{

if（k==0）

{

b[i][j]=*（pBmpBuf+i*lineByte+j*3+k）;

}

if（k==1）

{

g[i][j]=*（pBmpBuf+i*lineByte+j*3+k）;

}

if（k==2）

{

r[i][j]=*（pBmpBuf+i*lineByte+j*3+k）;

}

}

n++;

}

}

}

cout<<"总的像素个数为:

"<

ofstreamoutfile（"图像像素的rgb分量.txt",ios:

:

out|ios:

:

trunc）;

if（!

outfile）

{

cout<<"Openerror!

"<

}

for（inti=0;i

{

for（intj=0;j

{

if（j%bmpWidth==0）

{

outfile<

}

outfile<

}

}

outfile<

for（inti=0;i

{

for（intj=0;j

{

if（j%bmpWidth==0）

{

outfile<

}

outfile<

}

}

outfile<

for（inti=0;i

{

for（intj=0;j

{

if（j%bmpWidth==0）

{

outfile<

}

outfile<

}

}

outfile.close（）;

}

读取卫星小图片（针对3.1.3节输出的RGB三个结果矩阵）高度坐标的完整程序如下：

#include

#include

#include

#include

#include

#include

usingnamespacestd;

intbmpHeight=17;

intbmpWidth=16;

doubleheight[17][16];

typedefunsignedcharBYTE;

typedefvector>Mat;

structcolorTable

{

BYTEred;

BYTEgreen;

BYTEblue;

doubleheight;

};

voidgetHeight（Mat&r,Mat&g,Mat&b,colorTable*color）;

Matinput（constchar*nameFile）;

intgetMin（float*a）;

intmain（）

{

Matr=input（"red.txt"）;

Matg=input（"green.txt"）;

Matb=input（"blue.txt"）;

colorTablecolor[31];

for（inti=0;i<31;++i）//color[31]的初始化

{

if（i<=15）

{

color[i].red=0;

color[i].green=0+17*i;

color[i].blue=255-17*i;

}

else

{

color[i].red=0+（i-15）*17;

color[i].green=255-（i-15）*17;

color[i].blue=0;

}

color[i].height=i*21.7;

}

getHeight（r,g,b,color）;

for（inti=0;i

{

for（intj=0;j

cout<

cout<

}

ofstreamout（"high.txt",ios:

:

out）;

for（inti=0;i

{

for（intj=0;j

out<

out<

}

return0;

}

voidgetHeight（Mat&r,Mat&g,Mat&b,colorTable*color）

{

floata[31];

//获取每像素点的高度坐标

for（inti=0;i

{

for（intj=0;j

{

for（intk=0;k<31;++k）

{

a[k]=sqrt（（r[i][j]-color[k].red）*（r[i][j]-color[k].red）+（g[i][j]-color[k].green）*（g[i][j]-color[k].green）+（b[i][j]-color[k].blue）*（b[i][j]-color[k].blue））;

}

intindex=getMin（a）;

height[i][j]=color[index].height;

}

}

}

Matinput（constchar*nameFile）

{

ifstreamin（nameFile,ios:

:

in）;

Mata;

istringstreamiss;

stringstr;

vectortmpvec;

while（getline（in,str））

{

iss.str（str）;

BYTEtmp;

while（iss>>tmp）

{

tmpvec.push_back（tmp）;

}

a.push_back（tmpvec）;

tmpvec.clear（）;

iss.clear（）;

}

returna;

}

intgetMin（float*a）

{

intindex=0;

floatmin=a[0];

for（inti=1;i<31;++i）

{

if（a[i]

{

min=a[i];

index=i;

}

}

returnindex;

}

上述程序运行后输出高度矩阵的结果如下：

151.9477.4151.9151.9477.4151.9151.9151.9477.4151.9151.9151.9151.9151.9151.9151.9

151.9151.9477.4151.9477.4151.9151.9151.9477.4151.9151.9151.9151.9151.9151.9151.9

151.9151.9477.4151.9151.9477.4151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9

151.9477.4151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9477.4151.9

151.9151.9477.4151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9

151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9477.4151.9477.4151.9151.9

151.9151.9151.9151.9151.9477.4151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9

151.9151.9477.4151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9

151.9477.4151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9

151.9477.4151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9151.9

151.9151.9477.4151.9151.9151.9151.9151.9477.4151.9151.9151.9151.9151.9477.4151.9

151.9477.4477.4151.9477.4151.9151.9477.4477.4151.9477.4477.4151.9151.9477.4151.9

151.9151.9151.9151.9477.