首页
学习
活动
专区
工具
TVP
发布
社区首页 >专栏 >EX2: 用CImg改写canny算法 EX2

EX2: 用CImg改写canny算法 EX2

作者头像
平凡的学生族
发布2019-05-25 09:59:31
7440
发布2019-05-25 09:59:31
举报
文章被收录于专栏:后端技术后端技术

1. canny.h

#ifndef _CANNY_
#define _CANNY_
#include "CImg.h"
#include <vector>

using namespace std;
using namespace cimg_library;

class canny {
private:
    CImg<unsigned char> img; //Original Image
    CImg<unsigned char> grayscaled; // Grayscale
    CImg<unsigned char> gFiltered; // Gradient
    CImg<unsigned char> sFiltered; //Sobel Filtered
    CImg<unsigned char> angles; //Angle Map
    CImg<unsigned char> non; // Non-maxima supp.
    CImg<unsigned char> thres; //Double threshold and final
public:
    canny(char const*); //Constructor
    CImg<unsigned char> toGrayScale();
    vector<vector<double> > createFilter(int, int, double); //Creates a gaussian filter
    CImg<unsigned char> useFilter(CImg<unsigned char>, vector<vector<double> >); //Use some filter
    CImg<unsigned char> sobel(); //Sobel filtering
    CImg<unsigned char> nonMaxSupp(); //Non-maxima supp.
    CImg<unsigned char> threshold(CImg<unsigned char>, int, int); //Double threshold and finalize picture
};

#endif

2. canny.cpp

Z
#define _USE_MATH_DEFINES
#include "canny.h"
#include <vector>
#include <iostream>

using namespace std; 
canny::canny(char const* filename)
{
    CImg<unsigned char> temp(filename);
    img = temp;

    if (0) // Check for invalid input
    {
        cout << "Could not open or find the image" << std::endl;
    }
    else
    {
        vector<vector<double> > filter = createFilter(3, 3, 1);

        //Print filter
        for (int i = 0; i<filter.size(); i++) 
        {
            for (int j = 0; j<filter[i].size(); j++) 
            {
                cout << filter[i][j] << " ";
            }
        }
        grayscaled = toGrayScale(); //Grayscale the image
        gFiltered = useFilter(grayscaled, filter); //Gaussian Filter
        sFiltered = sobel(); //Sobel Filter

        non = nonMaxSupp(); //Non-Maxima Suppression
        thres = threshold(non, 77, 95); //Double Threshold and Finalize 20 40

        /***************way1 to display*******************/
        CImgDisplay img_disp(img, "Original"),
                    grayscaled_disp(grayscaled,"GrayScaled"),
                    gFiltered_disp(gFiltered, "Gaussian Blur"),
                    sFiltered_disp(sFiltered, "Sobel Filtered"),
                    non_disp(non, "Non-Maxima Supp."),
                    thres_disp(thres, "Final");
        while (!img_disp.is_closed()
                || !grayscaled_disp.is_closed()
                || !gFiltered_disp.is_closed()
                || !sFiltered_disp.is_closed()
                || !non_disp.is_closed()
                || !thres_disp.is_closed()) {
        }
    }
}


CImg<unsigned char> canny::toGrayScale() {
    grayscaled = CImg<unsigned char>(img.rows, img.cols, 1); // one channel
    cimg_forXY(img, x, y) 
    {
        int b = img(x, y, 0);
        int g = img(x, y, 1);
        int r = img(x, y, 2);
        double newValue = (r * 0.2126 + g * 0.7152 + b * 0.0722);
        grayscaled(x, y) = newValue;
    }
    return grayscaled;
}

vector<vector<double>> canny::createFilter(int row, int column, double sigmaIn)
{
    vector<vector<double>> filter(row, vector<int>double(col, -1));

    int row = img.row;
    int col = img.col;
    float coordSum = 0;
    float constant = 2.0 * sigmaIn * sigmaIn;

    // Sum is for normalization
    float sum = 0.0;

    for (int x = - row/2; x <= row/2; x++)
    {
        for (int y = -column/2; y <= column/2; y++)
        {
            coordSum = (x*x + y*y);
            filter[x + row/2][y + column/2] = (exp(-(coordSum) / constant)) / (M_PI * constant);
            sum += filter[x + row/2][y + column/2];
        }
    }

    // Normalize the Filter
    for (int i = 0; i < row; i++)
        for (int j = 0; j < column; j++)
            filter[i][j] /= sum;

    return filter;
}

CImg<unsigned char> canny::useFilter(CImg<unsigned char> img_in, vector<vector<double>> filterIn)
{
    int size = (int)filterIn.size()/2;
    CImg<unsigned char> filteredImg = CImg<unsigned char>(img_in.rows - 2*size, img_in.cols - 2*size, 1);
    for (int i = size; i < img_in.rows - size; i++)
    {
        for (int j = size; j < img_in.cols - size; j++)
        {
            double sum = 0;
            
            for (int x = 0; x < filterIn.size(); x++)
                for (int y = 0; y < filterIn.size(); y++)
                {
                    sum += filterIn[x][y] * (double)(img_in(i + x - size, j + y - size));
                }
            
            filteredImg(i-size, j-size) = sum;
        }

    }
    return filteredImg;
}

CImg<unsigned char> canny::sobel()
{

    //Sobel X Filter
    double x1[] = {-1.0, 0, 1.0};
    double x2[] = {-2.0, 0, 2.0};
    double x3[] = {-1.0, 0, 1.0};

    vector<vector<double>> xFilter(3);
    xFilter[0].assign(x1, x1+3);
    xFilter[1].assign(x2, x2+3);
    xFilter[2].assign(x3, x3+3);
    
    //Sobel Y Filter
    double y1[] = {1.0, 2.0, 1.0};
    double y2[] = {0, 0, 0};
    double y3[] = {-1.0, -2.0, -1.0};
    
    vector<vector<double>> yFilter(3);
    yFilter[0].assign(y1, y1+3);
    yFilter[1].assign(y2, y2+3);
    yFilter[2].assign(y3, y3+3);
    
    //Limit Size
    int size = (int)xFilter.size()/2;
    
    CImg<unsigned char> filteredImg = CImg<unsigned char>(gFiltered.rows - 2*size, gFiltered.cols - 2*size);
    
    angles = CImg<unsigned char>(gFiltered.rows - 2*size, gFiltered.cols - 2*size, 1); //AngleMap

    for (int i = size; i < gFiltered.rows - size; i++)
    {
        for (int j = size; j < gFiltered.cols - size; j++)
        {
            double sumx = 0;
            double sumy = 0;
            
            for (int x = 0; x < xFilter.size(); x++)
                for (int y = 0; y < xFilter.size(); y++)
                {
                    sumx += xFilter[x][y] * (double)(gFiltered(i + x - size, j + y - size)); //Sobel_X Filter Value
                    sumy += yFilter[x][y] * (double)(gFiltered(i + x - size, j + y - size)); //Sobel_Y Filter Value
                }
            double sumxsq = sumx*sumx;
            double sumysq = sumy*sumy;
            
            double sq2 = sqrt(sumxsq + sumysq);
            
            if(sq2 > 255) //Unsigned Char Fix
                sq2 =255;
            filteredImg(i-size, j-size) = sq2;
 
            if(sumx==0) //Arctan Fix
                angles(i-size, j-size) = 90;
            else
                angles(i-size, j-size) = atan(sumy/sumx);
        }
    }
    
    return filteredImg;
}


CImg<unsigned char> canny::nonMaxSupp()
{
    CImg<unsigned char> nonMaxSupped = CImg<unsigned char>(sFiltered.rows-2, sFiltered.cols-2, CV_8UC1);
    for (int i=1; i<sFiltered.rows - 1; i++) {
        for (int j=1; j<sFiltered.cols - 1; j++) {
            float Tangent = angles(i,j);

            nonMaxSupped(i-1, j-1) = sFiltered(i,j);
            //Horizontal Edge
            if (((-22.5 < Tangent) && (Tangent <= 22.5)) || ((157.5 < Tangent) && (Tangent <= -157.5)))
            {
                if ((sFiltered(i,j) < sFiltered(i,j+1)) || (sFiltered(i,j) < sFiltered<uchar>(i,j-1)))
                    nonMaxSupped<uchar>(i-1, j-1) = 0;
            }
            //Vertical Edge
            if (((-112.5 < Tangent) && (Tangent <= -67.5)) || ((67.5 < Tangent) && (Tangent <= 112.5)))
            {
                if ((sFiltered.at(i,j) < sFiltered(i+1,j)) || (sFiltered(i,j) < sFiltered(i-1,j)))
                    nonMaxSupped.at(i-1, j-1) = 0;
            }
            
            //-45 Degree Edge
            if (((-67.5 < Tangent) && (Tangent <= -22.5)) || ((112.5 < Tangent) && (Tangent <= 157.5)))
            {
                if ((sFiltered(i,j) < sFiltered(i-1,j+1)) || (sFiltered(i,j) < sFiltered(i+1,j-1)))
                    nonMaxSupped.at<uchar>(i-1, j-1) = 0;
            }
            
            //45 Degree Edge
            if (((-157.5 < Tangent) && (Tangent <= -112.5)) || ((22.5 < Tangent) && (Tangent <= 67.5)))
            {
                if ((sFiltered(i,j) < sFiltered(i+1,j+1)) || (sFiltered(i,j) < sFiltered(i-1,j-1)))
                    nonMaxSupped(i-1, j-1) = 0;
            }
        }
    }
    return nonMaxSupped;
}

CImg<unsigned char> canny::threshold(CImg<unsigned char> imgin,int low, int high)
{
    if(low > 255)
        low = 255;
    if(high > 255)
        high = 255;
    
    CImg<unsigned char> EdgeMat = CImg<unsigned char>(imgin.rows, imgin.cols, imgin.type());
    
    for (int i=0; i<imgin.rows; i++) 
    {
        for (int j = 0; j<imgin.cols; j++) 
        {
            EdgeMat(i,j) = imgin(i,j);
            if(EdgeMat(i,j) > high)
                EdgeMat(i,j) = 255;
            else if(EdgeMat(i,j) < low)
                EdgeMat(i,j) = 0;
            else
            {
                bool anyHigh = false;
                bool anyBetween = false;
                for (int x=i-1; x < i+2; x++) 
                {
                    for (int y = j-1; y<j+2; y++) 
                    {
                        if(x <= 0 || y <= 0 || EdgeMat.rows || y > EdgeMat.cols) //Out of bounds
                            continue;
                        else
                        {
                            if(EdgeMat(x,y) > high)
                            {
                                EdgeMat(i,j) = 255;
                                anyHigh = true;
                                break;
                            }
                            else if(EdgeMat(x,y) <= high && EdgeMat(x,y) >= low)
                                anyBetween = true;
                        }
                    }
                    if(anyHigh)
                        break;
                }
                if(!anyHigh && anyBetween)
                    for (int x=i-2; x < i+3; x++) 
                    {
                        for (int y = j-1; y<j+3; y++) 
                        {
                            if(x < 0 || y < 0 || x > EdgeMat.rows || y > EdgeMat.cols) //Out of bounds
                                continue;
                            else
                            {
                                if(EdgeMat(x,y) > high)
                                {
                                    EdgeMat(i,j) = 255;
                                    anyHigh = true;
                                    break;
                                }
                            }
                        }
                        if(anyHigh)
                            break;
                    }
                if(!anyHigh)
                    EdgeMat(i,j) = 0;
            }
        }
    }
    return EdgeMat;
}

3. 运行效果

3.1 lena

3.2 bigben

3.3 stpetro

3.4 twows

4. 参数说明

4.1 toGrayScale

主要在于double newValue = (r * 0.2126 + g * 0.7152 + b * 0.0722);这句话,把每个点转为灰色

4.2 高斯模糊

首先调用createFilter生成卷积核,再用useFilter对图像进行卷积

4.3 sobel

用Gx和Gy两个卷积核对图像进行卷积,得到梯度变化大的边界。再用非极大值抑制法剔除非边缘的点。

4.4 双阈值法

剔除那些梯度变化过小或过大的点,以消除噪声

本文参与 腾讯云自媒体分享计划,分享自作者个人站点/博客。
原始发表:2018.04.14 ,如有侵权请联系 cloudcommunity@tencent.com 删除

本文分享自 作者个人站点/博客 前往查看

如有侵权,请联系 cloudcommunity@tencent.com 删除。

本文参与 腾讯云自媒体分享计划  ,欢迎热爱写作的你一起参与!

评论
登录后参与评论
0 条评论
热度
最新
推荐阅读
目录
  • 1. canny.h
  • 2. canny.cpp
  • 3. 运行效果
    • 3.1 lena
      • 3.2 bigben
        • 3.3 stpetro
          • 3.4 twows
          • 4. 参数说明
            • 4.1 toGrayScale
              • 4.2 高斯模糊
                • 4.3 sobel
                  • 4.4 双阈值法
                  领券
                  问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档