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main.cpp
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170 lines (166 loc) · 5 KB
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#include<iostream>
#include<string>
#include<sstream>
using namespace std;
#include "./gdal/gdal_priv.h"
#pragma comment(lib, "gdal_i.lib")
//卷积核
//锐化
double ker1[3][3] = {0,1,0,
1,1,1,
0,1,0};
double ker2[5][5] = {1,0,0,0,0,
0,1,0,0,0,
0,0,1,0,0,
0,0,0,1,0,
0,0,0,0,1};
double ker3[3][3] = {-1,-1,-1,
-1, 8,-1,
-1,-1,-1};
double ker4[3][3] = {-1,-1,-1,
-1, 9,-1,
-1,-1,-1};
double ker5[3][3] = {-1,-1, 0,
-1, 0, 1,
0, 1, 1};
double ker6[5][5] = {0.0120,0.1253,0.2736,0.1253,0.0120,
0.1253,1.3054,2.8514,1.3054,0.1253,
0.2736,2.8514,6.2279,2.8514,0.2736,
0.1253,1.3054,2.8514,1.3054,0.1253,
0.0120,0.1253,0.2736,0.1253,0.0120};
///卷积图像处理
/**
图像原路径 图像目标路径 选择卷积核 卷积核长度
*/
int juanji(char* srcPath,char* dstPath,int s,int l){
//图像的宽度和高度
int imgXlen, imgYlen;
//图像波段数
int i, bandNum;
//乘积参数,乘积之和
double z,t,*temp;
//输入图像
GDALDataset* poSrcDS;
//输出图像
GDALDataset* poDstDS;
//图像内存存储
GByte *buffTmp[2];
//注册驱动
GDALAllRegister();
//打开图像
poSrcDS = (GDALDataset*)GDALOpenShared(srcPath, GA_ReadOnly);
//获取图像宽度,高度,波段数
imgXlen = poSrcDS->GetRasterXSize();
imgYlen = poSrcDS->GetRasterYSize();
bandNum = poSrcDS->GetRasterCount();
//输出获取的结果
cout << "IMG X Length:" << imgXlen << endl;
cout << "IMG Y Length:" << imgYlen << endl;
cout << "Band Number:" << bandNum << endl;
//根据图像的宽度和高度分配内存
for(i = 0 ; i < 2;i++){
buffTmp[i] = (GByte *) CPLMalloc(imgXlen * imgYlen * sizeof(GByte));
}
//创建输出图像
poDstDS = GetGDALDriverManager()->GetDriverByName("GTiff")->Create(
dstPath,imgXlen,imgYlen,bandNum,GDT_Byte,NULL);
//初始化
for(i = 0 ; i < imgYlen ; i++){
for(int j = 0;j < imgXlen ;j++){
buffTmp[0][i * imgXlen + j] = buffTmp[1][i * imgXlen + j] = 0;
}
}
//分波段处理图像
for(i = 1 ; i <= bandNum ; i++){
//取出该波段的像素
poSrcDS->GetRasterBand(i)->RasterIO(GF_Read,
0,0,imgXlen,imgYlen,buffTmp[0],imgXlen,imgYlen,GDT_Byte,0,0);
//计算卷积
for(int j = l / 2;j < imgYlen - 1;j++){
for(int k = l / 2; k < imgXlen - 1 ; k++){
//对各个像素计算
t = 0;
z = 1;
for(int q = 0;q < l;q++){
for(int p = 0 ; p < l;p++){
//选择核
if(s == 1){
temp = ker1[0];
z = 0.2;
}
if(s == 2){
temp = ker2[0];
z = 0.2;
}
if(s == 3){
temp = ker3[0];
}
if(s == 4){
temp = ker4[0];
}
if(s == 5){
temp = ker5[0];
}
if(s == 6){
temp = ker6[0];
z = 0.04;
}
t +=(double) buffTmp[0][( j + q - l/2) * imgXlen + ( k + p - l/2)] * temp[q*l+p];
}
}
//浮雕 +128
if(s == 5){
t += 128;
}
//乘上参数
t *= z;
//超过数值范围的处理
if(t < 0)
t = 0;
else if(t > 255)
t = 255;
//赋值给新图缓存区
buffTmp[1][j * imgXlen + k] = (GByte)t;
}
}
//将计算好的像素填充图片内
poDstDS->GetRasterBand(i)->RasterIO(GF_Write,
0,0,imgXlen,imgYlen,buffTmp[1],imgXlen,imgYlen,GDT_Byte,0,0);
printf("... ... band %d processing ... ...\n",i);
}
//清除内存
for(i = 0;i < 2;i++)
CPLFree(buffTmp[i]);
//关闭dataset
GDALClose(poDstDS);
GDALClose(poSrcDS);
return 1;
}
int main()
{
//输入图像路径
char* srcPath = "lena.jpg";
//输出图像的路径
string dp = "lena";
string dp2 = ".tif";
string dp3 ;
std::stringstream ss;
//存储每个核的维数
int ll[] = {0,3,5,3,3,3,5};
printf("welcome!\n");
//循环x形成不同输出文件名
for( int x = 1;x <= 6;x++){
//拼接输出文件名
ss.clear();
ss << dp << x << dp2;
ss >> dp3;
cout << dp3 << endl;
if(juanji(srcPath,&dp3[0],x,ll[x])){
//回显提示正确
cout << dp3 << " success!" << endl << endl;
}else{
cout << dp3 << "failed." << endl << endl;
}
}
return 0;
}