how to get a better binary image from low quality image?

asked 2016-11-11 21:25:57 -0500

Alfred gravatar image

I need to get contour from hand image, usually I process image with 4 steps:

1.get raw RGB gray image from 3 channels to 1 channel:

cvtColor(sourceGrayImage, sourceGrayImage, COLOR_BGR2GRAY);

2. use Gaussian blur to filter gray image:

 GaussianBlur(sourceGrayImage, sourceGrayImage, Size(3,3), 0);

3.binary gray image, I separate image by height, normally I split image to 8 pieces by its height, then each one I do threshold process: // we split source picture to binaryImageSectionCount(here it's 8) pieces by its height, // then we for every piece, we do threshold, // and at last we combine them agin to binaryImage

const binaryImageSectionCount = 8;
void GetBinaryImage(Mat &grayImage, Mat &binaryImage)
{
    // get every partial gray image's height
    int partImageHeight = grayImage.rows / binaryImageSectionCount;
    for (int i = 0; i < binaryImageSectionCount; i++)
    {
        Mat partialGrayImage;            
        Mat partialBinaryImage;
        Rect partialRect;
        if (i != binaryImageSectionCount - 1)
        {
            // if it's not last piece, Rect's height should be partImageHeight
            partialRect = Rect(0, i * partImageHeight, grayImage.cols, partImageHeight);
        }
        else
        {
            // if it's last piece, Rect's height should be (grayImage.rows - i  * partImageHeight)
            partialRect = Rect(0, i * partImageHeight, grayImage.cols, grayImage.rows - i  * partImageHeight);
        }

        Mat partialResource = grayImage(partialRect);    
        partialResource.copyTo(partialGrayImage);    
        threshold( partialGrayImage, partialBinaryImage, 0, 255, THRESH_OTSU);

        // combin partial binary image to one piece
        partialBinaryImage.copyTo(binaryImage(partialRect));

        ///*stringstream resultStrm;
        //resultStrm << "partial_" << (i + 1);
        //string string = resultStrm.str();

        //imshow(string, partialBinaryImage);
        //waitKey(0);*/
    }
    imshow("result binary image.", binaryImage);
    waitKey(0);
    return;
}

4. findcontour of binary image:

vector<vector<Point> > contours;        
findContours(binaryImage, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);

normally it works fine, But for some low quality gray image, it doesn't work,like these below: lowqualityGrayImage1 lowqualityGrayImage2lowqualityGrayImage3lowqualityGrayImage4

because step 3 binary image is very bad, so step 4 cant get right contour of hand, the result of step3 is below:

binaryImage1binaryImage2binaryImage3binrayImage4

Is there any way to get clean hand binary image? Thank you very much if you can give me any comment or help...

the complete code is below:

#include <opencv2/imgproc/imgproc.hpp>
#include<opencv2/opencv.hpp>
#include <opencv2/highgui/highgui.hpp>

using namespace std;
using namespace cv;


// we split source picture to binaryImageSectionCount(here it's 8) pieces by its height, 
// then we for every piece, we do threshold, 
// and at last we combine them agin to binaryImage        
const binaryImageSectionCount = 8;
void GetBinaryImage(Mat &grayImage, Mat &binaryImage)
{
    // get every partial gray image's height
    int partImageHeight = grayImage.rows / binaryImageSectionCount;
    for (int i = 0; i < binaryImageSectionCount; i++)
    {
        Mat partialGrayImage;            
        Mat partialBinaryImage;
        Rect partialRect;
        if (i != binaryImageSectionCount - 1)
        {
            // if it's not last piece, Rect's height should be partImageHeight
            partialRect = Rect(0, i * partImageHeight, grayImage.cols, partImageHeight);
        }
        else
        {
            // if it's last piece, Rect's height should be (grayImage.rows - i  * partImageHeight)
            partialRect = Rect(0, i * partImageHeight, grayImage.cols, grayImage.rows - i  * partImageHeight);
        }

        Mat partialResource = grayImage(partialRect);    
        partialResource.copyTo(partialGrayImage);    
        threshold( partialGrayImage, partialBinaryImage, 0, 255, THRESH_OTSU);

        // combin partial binary image to one piece
        partialBinaryImage.copyTo(binaryImage(partialRect));

        ///*stringstream resultStrm;
        //resultStrm << "partial_" << (i + 1);
        //string string = resultStrm.str();

        //imshow(string, partialBinaryImage);
        //waitKey(0);*/
    }
    imshow("result binary image.", binaryImage);
    waitKey(0);
    return;
}


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