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main.cpp
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#pragma pack(2)
#include "handle.h"
void menu() {
std::cout << "数字图像处理" << "\n" << "输入数字选择功能" << "\n" << "1:24位分色" << "\n" << "2:8位灰度化" << "\n" << "3:8位反色"
<< "\n" << "4:绘制直方图" << "\n" << "5:直方图均衡化" << "\n" << "6:平均滤波" << "\n" << "7:中值滤波" << "\n" << "8:缩放"
<< "\n"
<< "9:平移" << "\n" << "10:镜像" << "\n" << "11:旋转" << "\n" << "12:固定阈值分割" << "\n" << "13:迭代阈值分割" << "\n"
<< "14:大津法" << "\n" << "15:区域生长" << "\n" << "16:分裂合并" << "\n" << "17:Prewitt" << "\n" << "18:Sobel"
<< "\n" << "19:LOG" << "\n"
<< "20:直线检测" << "\n" << "21:连通域分析" << "\n" << "22:轮廓提取" << "\n"<<"23:批处理"<<"\n";
}
int main() {
int choice;
int alpha;
int cut;
int deltaX, deltaY;
float scaleX, scaleY;
double angle;
char filename[50];
for (;;) {
menu();
std::cin >> choice;
switch (choice) {
case 1://分色
sprintf_s(filename, R"(..\resources\1.1\test%d%d.bmp)", choice / 10, choice % 10);
ColorSeparation(filename);
system("explorer ..\\resources\\1.1");
break;
case 2://灰度化
sprintf_s(filename, R"(..\resources\1.2\test%d%d.bmp)", choice / 10, choice % 10);
Grayscale(filename);
system("explorer ..\\resources\\1.2");
break;
case 3://反色
sprintf_s(filename, R"(..\resources\1.3\test%d%d.bmp)", choice / 10, choice % 10);
Invert(filename);
system("explorer ..\\resources\\1.3");
break;
case 4://直方图
sprintf_s(filename, R"(..\resources\2.1\test%d%d.bmp)", choice / 10, choice % 10);
Histogram(filename);
system("explorer ..\\resources\\2.1");
break;
case 5://均衡化
sprintf_s(filename, R"(..\resources\2.2\test%d%d.bmp)", choice / 10, choice % 10);
Equalization(filename);
system("explorer ..\\resources\\2.2");
break;
case 6://平均降噪
std::cout << "输入窗口大小（奇数）" << "\n";
std::cin >> alpha;
sprintf_s(filename, R"(..\resources\3.1\test%d%d.bmp)", choice / 10, choice % 10);
AverageTreatment(filename, alpha);
system("explorer ..\\resources\\3.1");
break;
case 7://中值降噪
std::cout << "输入窗口大小（奇数）" << "\n";
std::cin >> alpha;
sprintf_s(filename, R"(..\resources\3.2\test%d%d.bmp)", choice / 10, choice % 10);
MedianFiltering(filename, alpha);
system("explorer ..\\resources\\3.2");
break;
case 8://缩放
std::cout << "输入横向缩放比" << "\n";
std::cin >> scaleX;
std::cout << "输入纵向缩放比" << "\n";
std::cin >> scaleY;
sprintf_s(filename, R"(..\resources\4.1\test%d%d.bmp)", choice / 10, choice % 10);
Scale(filename, scaleX, scaleY);
system("explorer ..\\resources\\4.1");
break;
case 9://平移
std::cout << "输入水平偏移量" << "\n";
std::cin >> deltaX;
std::cout << "输入垂直偏移量" << "\n";
std::cin >> deltaY;
sprintf_s(filename, R"(..\resources\4.2\test%d%d.bmp)", choice / 10, choice % 10);
Translation(filename, deltaX, deltaY);
system("explorer ..\\resources\\4.2");
break;
case 10://镜像
sprintf_s(filename, R"(..\resources\4.3\test%d%d.bmp)", choice / 10, choice % 10);
Horizontal_Mirror(filename);
Vertical_Mirror(filename);
system("explorer ..\\resources\\4.3");
break;
case 11://旋转
std::cout << "输入旋转角度" << "\n";
std::cin >> angle;
sprintf_s(filename, R"(..\resources\4.4\test%d%d.bmp)", choice / 10, choice % 10);
Rotate(filename, angle * PI / 180);
system("explorer ..\\resources\\4.4");
break;
case 12://给定阈值分割
std::cout << "输入给定阈值" << "\n";
std::cin >> alpha;
sprintf_s(filename, R"(..\resources\5.1\test%d%d.bmp)", choice / 10, choice % 10);
FixedThresholdSegmentation(filename, alpha);
system("explorer ..\\resources\\5.1");
break;
case 13://迭代阈值法
std::cout << "输入迭代门限值" << "\n";
std::cin >> alpha;
sprintf_s(filename, R"(..\resources\5.2\test%d%d.bmp)", choice / 10, choice % 10);
IterationThresholdSegmentation(filename, alpha);
system("explorer ..\\resources\\5.2");
break;
case 14://大津法
sprintf_s(filename, R"(..\resources\5.3\test%d%d.bmp)", choice / 10, choice % 10);
otsu(filename);
system("explorer ..\\resources\\5.3");
break;
case 15:
std::cout << "输入生长准则阈值T" << "\n";
std::cin >> alpha;
std::cout << "输入分界值以产生种子" << "\n";
std::cin >> cut;
sprintf_s(filename, R"(..\resources\6.1\test%d%d.bmp)", choice / 10, choice % 10);
RegionGrowth(filename,alpha,cut);
system("explorer ..\\resources\\6.1");
break;
case 16:
std::cout << "输入生长准则阈值T" << "\n";
std::cin >> alpha;
sprintf_s(filename, R"(..\resources\6.2\test%d%d.bmp)", choice / 10, choice % 10);
Merge(filename,alpha);
system("explorer ..\\resources\\6.2");
break;
case 17:
std::cout << "输入阈值" << "\n";
std::cin >> alpha;
sprintf_s(filename, R"(..\resources\7.1\test%d%d.bmp)", choice / 10, choice % 10);
Prewitt(filename, alpha);
system("explorer ..\\resources\\7.1");
break;
case 18:
std::cout << "输入阈值" << "\n";
std::cin >> alpha;
sprintf_s(filename, R"(..\resources\7.2\test%d%d.bmp)", choice / 10, choice % 10);
Sobel(filename, alpha);
system("explorer ..\\resources\\7.2");
break;
case 19:
std::cout << "输入阈值" << "\n";
std::cin >> alpha;
sprintf_s(filename, R"(..\resources\7.3\test%d%d.bmp)", choice / 10, choice % 10);
Log(filename, alpha);
system("explorer ..\\resources\\7.3");
break;
case 20:
std::cout << "输入阈值" << "\n";
std::cin >> alpha;
sprintf_s(filename, R"(..\resources\8.1\test%d%d.bmp)", choice / 10, choice % 10);
Hough(filename, alpha);
system("explorer ..\\resources\\8.1");
break;
case 21:
sprintf_s(filename, R"(..\resources\9.1\test%d%d.bmp)", choice / 10, choice % 10);
RegionMark(filename);
system("explorer ..\\resources\\9.1");
break;
case 22:
sprintf_s(filename, R"(..\resources\9.2\test%d%d.bmp)", choice / 10, choice % 10);
ContourTrack(filename);
system("explorer ..\\resources\\9.2");
break;
case 23:
sprintf_s(filename, R"(..\resources\1.1\test%d%d.bmp)", 0, 1);
ColorSeparation(filename);//分色
sprintf_s(filename, R"(..\resources\1.2\test%d%d.bmp)",0,2);
Grayscale(filename);//灰度化
sprintf_s(filename, R"(..\resources\1.3\test%d%d.bmp)", 0,3);
Invert(filename);//反色
sprintf_s(filename, R"(..\resources\2.1\test%d%d.bmp)", 0,4);
Histogram(filename);//直方图
sprintf_s(filename, R"(..\resources\2.2\test%d%d.bmp)", 0,5);
Equalization(filename);//直方图均衡化
sprintf_s(filename, R"(..\resources\3.1\test%d%d.bmp)", 0,6);
alpha = 5;
AverageTreatment(filename, alpha);//平均处理
sprintf_s(filename, R"(..\resources\3.2\test%d%d.bmp)", 0,7);
alpha = 5;
MedianFiltering(filename, alpha);//中值滤波
sprintf_s(filename, R"(..\resources\4.1\test%d%d.bmp)", 0,8);
scaleX = 0.5,scaleY=2;
Scale(filename, scaleX, scaleY);//缩放
sprintf_s(filename, R"(..\resources\4.2\test%d%d.bmp)", 0,9);
deltaX = 20,deltaY = -30;
Translation(filename, deltaX, deltaY);//平移
sprintf_s(filename, R"(..\resources\4.3\test%d%d.bmp)", 1,0);
Horizontal_Mirror(filename);//竖直镜像
sprintf_s(filename, R"(..\resources\4.3\test%d%d.bmp)", 1,0);
Vertical_Mirror(filename);//水平镜像
sprintf_s(filename, R"(..\resources\4.4\test%d%d.bmp)", 1,1);
angle = 30;
Rotate(filename, angle * PI / 180);//旋转
sprintf_s(filename, R"(..\resources\5.1\test%d%d.bmp)", 1,2);
alpha = 100;
FixedThresholdSegmentation(filename, alpha);//固定阈值分割
sprintf_s(filename, R"(..\resources\5.2\test%d%d.bmp)", 1,3);
alpha = 2;
IterationThresholdSegmentation(filename, alpha);//迭代阈值分割
sprintf_s(filename, R"(..\resources\5.3\test%d%d.bmp)", 1,4);
otsu(filename);//大津法
sprintf_s(filename, R"(..\resources\6.1\test%d%d.bmp)", 1,5);
alpha = 1,cut = 120;
RegionGrowth(filename,alpha,cut);//区域生长
sprintf_s(filename, R"(..\resources\6.2\test%d%d.bmp)", 1,6);
Merge(filename,alpha);//分裂合并
sprintf_s(filename, R"(..\resources\7.1\test%d%d.bmp)", 1,7);
alpha = 120;
Prewitt(filename, alpha);
sprintf_s(filename, R"(..\resources\7.2\test%d%d.bmp)", 1,8);
alpha = 120;
Sobel(filename, alpha);
sprintf_s(filename, R"(..\resources\7.3\test%d%d.bmp)", 1,9);
alpha = 120;
Log(filename, alpha);
sprintf_s(filename, R"(..\resources\8.1\test%d%d.bmp)", 2,0);
alpha = 80;
Hough(filename, alpha);//直线检测
sprintf_s(filename, R"(..\resources\9.1\test%d%d.bmp)", 2,1);
RegionMark(filename);//区域标记
sprintf_s(filename, R"(..\resources\9.2\test%d%d.bmp)", 2,2);
ContourTrack(filename);
system("explorer ..\\resources");
break;
case -1:
return 0;
default:
break;
}
}
}