测量轴径像素点代码，轴径图片

Code/test_blank_point/.vs/test_blank_point/v17/DocumentLayout.json

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+  "Version": 1,
+  "WorkspaceRootPath": "E:\\c\u002B\u002B\\test_blank_point\\",
+  "Documents": [
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+    },
+    {
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+    }
+  ],
+  "DocumentGroupContainers": [
+    {
+      "Orientation": 0,
+      "VerticalTabListWidth": 256,
+      "DocumentGroups": [
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+          "SelectedChildIndex": 1,
+          "Children": [
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+    }
+  ]
+}

Code/test_blank_point/test_blank_point.sln

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+
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio Version 17
+VisualStudioVersion = 17.9.34723.18
+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "test_blank_point", "test_blank_point\test_blank_point.vcxproj", "{0467BAD5-138D-48B2-AF78-2C600E82CD3B}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|x64 = Debug|x64
+		Debug|x86 = Debug|x86
+		Release|x64 = Release|x64
+		Release|x86 = Release|x86
+	EndGlobalSection
+	GlobalSection(ProjectConfigurationPlatforms) = postSolution
+		{0467BAD5-138D-48B2-AF78-2C600E82CD3B}.Debug|x64.ActiveCfg = Debug|x64
+		{0467BAD5-138D-48B2-AF78-2C600E82CD3B}.Debug|x64.Build.0 = Debug|x64
+		{0467BAD5-138D-48B2-AF78-2C600E82CD3B}.Debug|x86.ActiveCfg = Debug|Win32
+		{0467BAD5-138D-48B2-AF78-2C600E82CD3B}.Debug|x86.Build.0 = Debug|Win32
+		{0467BAD5-138D-48B2-AF78-2C600E82CD3B}.Release|x64.ActiveCfg = Release|x64
+		{0467BAD5-138D-48B2-AF78-2C600E82CD3B}.Release|x64.Build.0 = Release|x64
+		{0467BAD5-138D-48B2-AF78-2C600E82CD3B}.Release|x86.ActiveCfg = Release|Win32
+		{0467BAD5-138D-48B2-AF78-2C600E82CD3B}.Release|x86.Build.0 = Release|Win32
+	EndGlobalSection
+	GlobalSection(SolutionProperties) = preSolution
+		HideSolutionNode = FALSE
+	EndGlobalSection
+	GlobalSection(ExtensibilityGlobals) = postSolution
+		SolutionGuid = {641FDD2B-817B-4101-B5E1-14C438B5BA30}
+	EndGlobalSection
+EndGlobal

Code/test_blank_point/test_blank_point/test_blank_point.cpp

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+// test_blank_point.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
+//
+
+// 垂直线.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
+//
+
+#include <opencv2/opencv.hpp>
+#include <iostream>
+#include <limits>
+#include <cmath>
+#define _USE_MATH_DEFINES
+#include <math.h>
+#include <filesystem>
+
+
+using namespace cv;
+using namespace std;
+
+
+class image
+{
+public:
+    string input_path="E:\\project\\Chip detection\\240407-shaft\\short\\Image_20240407143655906.bmp";
+    string output_path="E:\\project\\Chip detection\\240407\\short";
+};
+// 计算旋转矩阵
+Mat getRotationMatrix(Point2f center, float angle, float scale) {
+    Mat rot_mat = getRotationMatrix2D(center, angle, scale);
+    return rot_mat;
+}
+
+
+int Marginaljudgment(const cv::Mat& binaryImage)
+{
+    int Marginal_line = 0;
+    for (int row = 0; row < binaryImage.rows; ++row)
+    {
+        int blackPixelCount = 0;
+
+        for (int col = 0; col < binaryImage.cols; ++col)
+        {
+            if (binaryImage.at<uchar>(row, col) < 15) // 黑色像素
+            {
+                ++blackPixelCount;
+            }
+        }
+        if (blackPixelCount == binaryImage.cols)
+        {
+            Marginal_line = row;
+        }
+        /*else if (blackPixelCount == binaryImage.cols && row > binaryImage.rows / 2)
+        {
+            Marginal_line = binaryImage.rows - row;
+        }*/
+    }
+    std::cerr << "cols:" << binaryImage.cols << std::endl;
+    std::cerr << "rows:" << binaryImage.rows << std::endl;
+    return Marginal_line;
+}
+
+
+
+int main(int argc, char** argv) {
+    string input_image_path = "E:\\project\\Chip detection\\240407-shaft\\short\\Image_20240407144459269.bmp"; 
+    Mat image = imread(input_image_path);
+    if (image.empty())
+    {
+        std::cerr << "Failed to load the binary image." << std::endl;
+        return -1;
+    }
+    Mat gray_image;
+    cvtColor(image, gray_image, COLOR_BGR2GRAY);
+    int Marginal_line = Marginaljudgment(gray_image);
+    std::cerr << "Marginal_line:" << Marginal_line << std::endl;
+    // 进行边缘检测（这里以Canny算法为例）
+    cv::Mat edges;
+    cv::Canny(image, edges, 50, 150);
+
+    // 保存边缘检测结果图片
+    //cv::imwrite("E:\\project\\Chip detection\\240407\\image_txt\\edges_detected.bmp", edges);
+
+
+    // 获取边缘点的坐标
+    std::vector<cv::Point> edgePoints;
+    cv::findNonZero(edges, edgePoints);
+
+    bool foundCondition = false;
+    cv::Point first_point(0, 0);
+    cv::Point second_point(0, 0);
+    cv::Point last_point(0, 0);
+    cv::Point second_last_point(0,0);
+
+    Point list1 = edgePoints[0];
+    Point list2 = edgePoints[1];
+
+    for (size_t i = 1; i < edgePoints.size()-1; i++)
+    {
+        if (edgePoints[i].y == edgePoints[i + 1].y && edgePoints[i + 1].x - edgePoints[i].x > 1)
+        {
+            first_point = edgePoints[i]; // 首个边缘点
+            second_point = edgePoints[i + 1]; // 第二个边缘点
+            break;
+        }
+    }
+    for (size_t i = edgePoints.size() - 1; i >0; i--)
+    {
+        if (edgePoints[i].y == edgePoints[i - 1].y && edgePoints[i].x - edgePoints[i-1].x > 1)
+        {
+            last_point = edgePoints[i]; // 首个边缘点
+            second_last_point = edgePoints[i - 1]; // 第二个边缘点
+            break;
+        }
+    }
+
+    std::cout << "first_point: " << first_point << std::endl;
+    std::cout << "second_point: " << second_point << std::endl;
+    std::cout << "last_point: " << last_point << std::endl;
+    std::cout << "second_last_point: " << second_last_point << std::endl;
+
+
+    // 计算首个和第二个边缘点构成线段的中点
+    cv::Point mid_point_first_segment((first_point.x + second_point.x) / 2, (first_point.y + second_point.y) / 2);
+    std::cout << "mid_point_first_segment: " << mid_point_first_segment << std::endl;
+
+    // 计算倒数首个和倒数第二个边缘点构成线段的中点
+    cv::Point mid_point_last_segment((last_point.x + second_last_point.x) / 2, (last_point.y + second_last_point.y) / 2);
+    std::cout << "mid_point_last_segment: " << mid_point_last_segment << std::endl; 
+
+    // 计算两个中点的斜率
+    double slope = (mid_point_last_segment.y - mid_point_first_segment.y) / (mid_point_last_segment.x - mid_point_first_segment.x);
+
+    //std::cout << "Slope between the two midpoints: " << slope << std::endl;
+
+    // 计算角度
+    double angle = atan(slope) * 180 / M_PI;
+
+    std::cout << "Angle in degrees: " << angle << std::endl;
+    double Rotateangle;
+    if (angle > 0)
+    {
+         Rotateangle = angle - 90;
+    }
+    else
+    {
+         Rotateangle = angle + 90;
+    }
+
+    double scale = 1.0;
+
+    Point2f center = mid_point_last_segment;
+    //Point2f center = edgePoints[edgePoints.size()];
+    std::cout << "center: " << center << std::endl;
+
+    Mat rot_mat = getRotationMatrix(center, Rotateangle, scale);
+
+    Mat rotated_image;
+    Size img_size = gray_image.size();
+    warpAffine(edges, rotated_image, rot_mat, img_size, INTER_LINEAR, BORDER_CONSTANT, Scalar(0));
+
+    string output_path_center("E:\\project\\Chip detection\\240407\\short\\result_image.jpg");
+    imwrite(output_path_center, rotated_image);
+
+    std::vector<cv::Point> rotatedPoints;
+    cv::findNonZero(rotated_image, rotatedPoints);
+
+    /*for (const cv::Point& point : rotatedPoints)
+    {
+        std::cout << "Edge Point: (" << point.x << ", " << point.y << ")" << std::endl;
+    }*/
+
+
+    //分组计算同一行边缘点列坐标的差值
+    std::map<int, std::vector<int>> rowColDifferences; // 存储每行（键）对应的列坐标差值（值）
+
+    for (size_t i = 1; i < rotatedPoints.size(); ++i)
+    {
+        const cv::Point& prevPoint = rotatedPoints[i - 1];
+        const cv::Point& currPoint = rotatedPoints[i];
+
+        // 同一行的边缘点才计算差值
+        if (prevPoint.y == currPoint.y)
+        {
+            int colDiff = currPoint.x - prevPoint.x;
+            if (colDiff>1)
+            {
+                rowColDifferences[currPoint.y].push_back(colDiff);
+            }
+        }
+    }
+
+    // 打印或进一步分析每一行的列坐标差值
+    for (const auto& rowEntry : rowColDifferences)
+    {
+        int row = rowEntry.first;
+        const std::vector<int>& colDiffs = rowEntry.second;
+
+        std::cout << "Row " << row << ": Column differences:";
+        for (int diff : colDiffs)
+        {
+            std::cout << " " << diff;
+        }
+        std::cout << std::endl;
+    }
+
+    return 0;
+}
+
+/*int main(int argc, char** argv) {
+
+    if (argc != 2) // 检查命令行参数是否正确（期望一个输入图片路径）
+    {
+        std::cerr << "Usage: program_name input_image_path" << std::endl;
+        return -1;
+    }
+
+    image Current_image;
+    string input_image_path = Current_image.input_path;
+    std::string file_extension = input_image_path.substr(input_image_path.find_last_of(".") + 1);
+
+    Mat image = imread(input_image_path);
+
+    // 将图片转换为灰度图像
+    Mat gray_image;
+    cvtColor(image, gray_image, COLOR_BGR2GRAY);
+
+    if (gray_image.empty())
+    {
+        std::cerr << "Failed to load the binary image." << std::endl;
+        return -1;
+    }
+
+    cv::Point middleBlackPixelFirstRow = getMiddleBlackPixelInRow(gray_image, gray_image.rows / 4);// First row
+    cv::Point middleBlackPixelLastRow = getMiddleBlackPixelInRow(gray_image, gray_image.rows / 4 * 3); // Last row
+
+    double angleInDegrees = CalculatingAngle(middleBlackPixelFirstRow, middleBlackPixelLastRow);
+
+    float scale = 1.0; // 不缩放，保持原比例
+
+    // 计算旋转中心（这里假设以最后一行的黑色像素作为旋转中心）
+    Size img_size = gray_image.size();
+    cv::Point2f center;
+    center.x = (middleBlackPixelFirstRow.x + middleBlackPixelLastRow.x) / 2;
+    center.y = (middleBlackPixelFirstRow.y + middleBlackPixelLastRow.y) / 2;
+    //int width = image.cols;
+    //int height = image.rows;
+    //center.x = width / 2;
+    //center.y = height / 2;
+    double angel = angleInDegrees - 90;
+    std::cout << "center: " << center << std::endl;
+    std::cout << "cols " << image.cols << std::endl;
+
+    // 计算旋转矩阵
+    Mat rot_mat = getRotationMatrix(center, angel, scale);
+
+    // 旋转图像
+    Mat rotated_image_center;
+    warpAffine(gray_image, rotated_image_center, rot_mat, img_size, INTER_LINEAR, BORDER_CONSTANT, Scalar(255));
+
+    // 保存旋转后的图像
+    //string output_path_center = "E:\\project\\Chip detection\\240407\\short\\rotated_Image_20240407144606626.jpg";
+    string output_path_center("E:\\project\\Chip detection\\240407\\short\\result_image.jpg");
+    imwrite(output_path_center, rotated_image_center);
+
+    std::string output_txt_path("E:\\project\\Chip detection\\240407\\short\\result_image.txt"); // 生成与输入图片同名但扩展名为.txt的输出文件路径
+    ofstream outputFile(output_txt_path); // 创建输出文件
+
+    if (!outputFile.is_open())
+    {
+        cerr << "Error: Could not open or create the output file!" << endl;
+        return -1;
+    }
+
+    for (int row = 0; row < rotated_image_center.rows; ++row)
+    {
+        int blackPixelCount = 0;
+
+        for (int col = 0; col < rotated_image_center.cols; ++col)
+        {
+            if (rotated_image_center.at<uchar>(row, col) < 10) // 黑色像素
+            {
+                ++blackPixelCount;
+            }
+        }
+
+        outputFile << blackPixelCount << endl; // 输出当前行的黑色像素数量
+    }
+
+    outputFile.close(); // 关闭输出文件
+
+    return 0;
+}*/
+
+// 运行程序: Ctrl + F5 或调试 >“开始执行(不调试)”菜单
+// 调试程序: F5 或调试 >“开始调试”菜单
+
+// 入门使用技巧: 
+//   1. 使用解决方案资源管理器窗口添加/管理文件
+//   2. 使用团队资源管理器窗口连接到源代码管理
+//   3. 使用输出窗口查看生成输出和其他消息
+//   4. 使用错误列表窗口查看错误
+//   5. 转到“项目”>“添加新项”以创建新的代码文件，或转到“项目”>“添加现有项”以将现有代码文件添加到项目
+//   6. 将来，若要再次打开此项目，请转到“文件”>“打开”>“项目”并选择 .sln 文件
+
+
+// 运行程序: Ctrl + F5 或调试 >“开始执行(不调试)”菜单
+// 调试程序: F5 或调试 >“开始调试”菜单
+
+// 入门使用技巧: 
+//   1. 使用解决方案资源管理器窗口添加/管理文件
+//   2. 使用团队资源管理器窗口连接到源代码管理
+//   3. 使用输出窗口查看生成输出和其他消息
+//   4. 使用错误列表窗口查看错误
+//   5. 转到“项目”>“添加新项”以创建新的代码文件，或转到“项目”>“添加现有项”以将现有代码文件添加到项目
+//   6. 将来，若要再次打开此项目，请转到“文件”>“打开”>“项目”并选择 .sln 文件

Code/test_blank_point/test_blank_point/test_blank_point.vcxproj

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+<?xml version="1.0" encoding="utf-8"?>
+<Project DefaultTargets="Build" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <ItemGroup Label="ProjectConfigurations">
+    <ProjectConfiguration Include="Debug|Win32">
+      <Configuration>Debug</Configuration>
+      <Platform>Win32</Platform>
+    </ProjectConfiguration>
+    <ProjectConfiguration Include="Release|Win32">
+      <Configuration>Release</Configuration>
+      <Platform>Win32</Platform>
+    </ProjectConfiguration>
+    <ProjectConfiguration Include="Debug|x64">
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+      <Platform>x64</Platform>
+    </ProjectConfiguration>
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+    <Keyword>Win32Proj</Keyword>
+    <ProjectGuid>{0467bad5-138d-48b2-af78-2c600e82cd3b}</ProjectGuid>
+    <RootNamespace>testblankpoint</RootNamespace>
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+    <CharacterSet>Unicode</CharacterSet>
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+    <CharacterSet>Unicode</CharacterSet>
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+      <SubSystem>Console</SubSystem>
+      <EnableCOMDATFolding>true</EnableCOMDATFolding>
+      <OptimizeReferences>true</OptimizeReferences>
+      <GenerateDebugInformation>true</GenerateDebugInformation>
+    </Link>
+  </ItemDefinitionGroup>
+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">
+    <ClCompile>
+      <WarningLevel>Level3</WarningLevel>
+      <SDLCheck>true</SDLCheck>
+      <PreprocessorDefinitions>_DEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+      <ConformanceMode>true</ConformanceMode>
+    </ClCompile>
+    <Link>
+      <SubSystem>Console</SubSystem>
+      <GenerateDebugInformation>true</GenerateDebugInformation>
+      <AdditionalDependencies>opencv_world3416.lib;opencv_world3416d.lib;%(AdditionalDependencies)</AdditionalDependencies>
+    </Link>
+  </ItemDefinitionGroup>
+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'">
+    <ClCompile>
+      <WarningLevel>Level3</WarningLevel>
+      <FunctionLevelLinking>true</FunctionLevelLinking>
+      <IntrinsicFunctions>true</IntrinsicFunctions>
+      <SDLCheck>true</SDLCheck>
+      <PreprocessorDefinitions>NDEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+      <ConformanceMode>true</ConformanceMode>
+    </ClCompile>
+    <Link>
+      <SubSystem>Console</SubSystem>
+      <EnableCOMDATFolding>true</EnableCOMDATFolding>
+      <OptimizeReferences>true</OptimizeReferences>
+      <GenerateDebugInformation>true</GenerateDebugInformation>
+    </Link>
+  </ItemDefinitionGroup>
+  <ItemGroup>
+    <ClCompile Include="test_blank_point.cpp" />
+  </ItemGroup>
+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
+  <ImportGroup Label="ExtensionTargets">
+  </ImportGroup>
+</Project>

Code/test_blank_point/test_blank_point/test_blank_point.vcxproj.filters

@@ -0,0 +1,22 @@
+<?xml version="1.0" encoding="utf-8"?>
+<Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <ItemGroup>
+    <Filter Include="源文件">
+      <UniqueIdentifier>{4FC737F1-C7A5-4376-A066-2A32D752A2FF}</UniqueIdentifier>
+      <Extensions>cpp;c;cc;cxx;c++;cppm;ixx;def;odl;idl;hpj;bat;asm;asmx</Extensions>
+    </Filter>
+    <Filter Include="头文件">
+      <UniqueIdentifier>{93995380-89BD-4b04-88EB-625FBE52EBFB}</UniqueIdentifier>
+      <Extensions>h;hh;hpp;hxx;h++;hm;inl;inc;ipp;xsd</Extensions>
+    </Filter>
+    <Filter Include="资源文件">
+      <UniqueIdentifier>{67DA6AB6-F800-4c08-8B7A-83BB121AAD01}</UniqueIdentifier>
+      <Extensions>rc;ico;cur;bmp;dlg;rc2;rct;bin;rgs;gif;jpg;jpeg;jpe;resx;tiff;tif;png;wav;mfcribbon-ms</Extensions>
+    </Filter>
+  </ItemGroup>
+  <ItemGroup>
+    <ClCompile Include="test_blank_point.cpp">
+      <Filter>源文件</Filter>
+    </ClCompile>
+  </ItemGroup>
+</Project>

Code/test_blank_point/test_blank_point/test_blank_point.vcxproj.user

@@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="utf-8"?>
+<Project ToolsVersion="Current" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <PropertyGroup />
+</Project>

Code/test_blank_point/test_blank_point/x64/Debug/test_blank_point.exe.recipe

@@ -0,0 +1,11 @@
+<?xml version="1.0" encoding="utf-8"?>
+<Project>
+  <ProjectOutputs>
+    <ProjectOutput>
+      <FullPath>E:\c++\test_blank_point\x64\Debug\test_blank_point.exe</FullPath>
+    </ProjectOutput>
+  </ProjectOutputs>
+  <ContentFiles />
+  <SatelliteDlls />
+  <NonRecipeFileRefs />
+</Project>

Code/test_blank_point/test_blank_point/x64/Debug/test_blank_point.log

@@ -0,0 +1,5 @@
+  test_blank_point.cpp
+C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.39.33519\include\filesystem(12): warning STL4038: The contents of <filesystem> are available only with C++17 or later.
+E:\c++\test_blank_point\test_blank_point\test_blank_point.cpp(154,58): warning C4244: “参数”: 从“double”转换到“float”，可能丢失数据
+E:\c++\test_blank_point\test_blank_point\test_blank_point.cpp(154,45): warning C4244: “参数”: 从“double”转换到“float”，可能丢失数据
+  test_blank_point.vcxproj -> E:\c++\test_blank_point\x64\Debug\test_blank_point.exe

Code/test_blank_point/test_blank_point/x64/Debug/test_blank_point.tlog/Cl.items.tlog

@@ -0,0 +1 @@
+E:\c++\test_blank_point\test_blank_point\test_blank_point.cpp;E:\c++\test_blank_point\test_blank_point\x64\Debug\test_blank_point.obj

Code/test_blank_point/test_blank_point/x64/Debug/test_blank_point.tlog/link.secondary.1.tlog

@@ -0,0 +1,2 @@
+^E:\C++\TEST_BLANK_POINT\TEST_BLANK_POINT\X64\DEBUG\TEST_BLANK_POINT.OBJ
+E:\c++\test_blank_point\test_blank_point\x64\Debug\test_blank_point.ilk

Code/test_blank_point/test_blank_point/x64/Debug/test_blank_point.tlog/test_blank_point.lastbuildstate

@@ -0,0 +1,2 @@
+PlatformToolSet=v143:VCToolArchitecture=Native64Bit:VCToolsVersion=14.39.33519:TargetPlatformVersion=10.0.22621.0:
+Debug|x64|E:\c++\test_blank_point\|

项目资料/240407-shaft/参数.txt

@@ -0,0 +1,4 @@
+相机 MV-CS200-10UC
+镜头 TCLWD080-110-3M
+光源 VLPXBGSD50X50W-DR
+曝光：3200