Vs2015 + graphical text OpenCV4.0 contour generation (note: the program is a 64 - bit exe, 32-bit machine does not support running!)



The core code parts:

#include
//4.0#include//4.0 header file to realize image grayscale binary corrosion header file resolve undefined identifiers CV_BGR2GRAY

# include & lt; Opencv2/core/core. Hpp>//4.0 the expansion of the header files to realize image
# include & lt; Opencv2 highgui/highgui. Hpp>//4.0 the expansion of the header files to realize image
# include & lt; Opencv2 imgproc/imgproc. Hpp>//4.0 the expansion of the header files to realize image



Void CMFCApplication1Dlg: : OnBnClickedButton1 basic image processing ()//opencv
{
Using the namespace CV;
using namespace std;
Mat matSrc=https://bbs.csdn.net/topics/imread (" D:/capture. JPG ");
Imshow (" displays the original image ", matSrc);
//waitKey (0);
//destroyAllWindows ();


//2 turns the original image into grayscale
Mat matGray;
CvtColor (matSrc matGray, CV_BGR2GRAY);
//2 show grayscale
NamedWindow (" according to gray image, "WINDOW_NORMAL);
Imshow (" according to gray image, "matGray);
Imwrite (" show grayscale. JPG ", matGray);

//3 the greyscale image binarization
Mat matBinary;
Threshold (matGray matBinary, 128, 255, THRESH_BINARY);
//3 shows that binary map
NamedWindow (" displays binary map ", WINDOW_NORMAL);
Imshow (" displays binary map ", matBinary);
Imwrite (" shows that binary figure. JPG ", matBinary);

//4 corrosion
Mat matResult;
Mat element=getStructuringElement (MORPH_RECT, Size (17, 17));//create 17 x17 nuclear
Erode (matBinary matResult, element);

//4 shows corrosion
NamedWindow (" show that corrosion, "WINDOW_NORMAL);
Imshow (" show that corrosion, "matResult);
Imwrite (" show corrosion figure. JPG ", matResult);


//5 expansion operation
Mat out;
Mat elements=getStructuringElement (MORPH_RECT, Size (15, 15));
Dilate (matResult, out, elements);

//show the rendering
NamedWindow (" display expansion ");
Imshow (" show inflation ", out);
Imwrite (" show inflation figure. JPG ", out);

}

Void CMFCApplication1Dlg: : OnBnClickedButton2 ()//opencv image text extraction and box selected processing
{
Using the namespace CV;
using namespace std;
Mat matSrc=https://bbs.csdn.net/topics/imread (" D:/capture. JPG ");
//imshow (" shows the original image, "matSrc);
//waitKey (0);
//destroyAllWindows ();


//2 turns the original image into grayscale
Mat matGray;
CvtColor (matSrc matGray, CV_BGR2GRAY);
//2 show grayscale
//namedWindow (" according to gray image, "WINDOW_NORMAL);
//imshow (" according to gray image, "matGray);


//00000000000000000000000000000000000000000000000000000000000000000000000000

Mat gray;
CvtColor (matSrc, gray, CV_BGR2GRAY);
//imshow (" matSrc ", gray);

//2. Pretreatment of morphological transformation, can get find rectangular profile


//1. Sobel operator, and gradient in the direction of x
Mat sobel.
Sobel (gray, Sobel, CV_8U, 1, 0, 3);
//2. The binarization
Mat binary;
Threshold (sobel, binary, 0, 255, THRESH_OTSU + THRESH_BINARY);
//3. The corrosion expansion and operation of nuclear setting
Mat element1=getStructuringElement (MORPH_RECT, Size (30, 9));
//control height can be controlled up and down the degree of expansion, such as the stronger ability to distinguish between 3 to 4, but also causes residual
Mat element2=getStructuringElement (MORPH_RECT, Size (24, 4));

//4. The expansion time, let the silhouettes
Mat dilate1;
Dilate (binary, dilate1, element2);
//5. Corrosion time, remove the detail, form line, etc., here is removed with vertical lines
Mat erode1;
Erode (dilate1 erode1, element1);
//6. Again, let outline clearly some
Mat dilate2;
Dilate (erode1 dilate2, element2);
//7. Store the intermediate image
Imwrite (" binary. JPG ", binary);
Imwrite (" dilate1. JPG ", dilate1);
Imwrite (" erode1. JPG ", erode1);
Imwrite (" dilate2. JPG ", dilate2);

//the code above is no problem, can realize the pretreatment of the graphic

Vector Contours.
VectorFindContours (dilate2, contours, hierarchy, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);
//draw profile
Mat: : zeros (dilate2. The size (), CV_8UC3);

for (int i=0; I & lt; Hierarchy. The size (); I++)
{
Scalar color=Scalar (rand () % 255, 255 rand () %, the rand () % 255);
//drawContours (dilate2, contours, I, color, CV_FILLED, 8, hierarchy);
DrawContours (matSrc, contours, I, CV: : Scalar (0, 0, 255), 2, 8, hierarchy, 1, Point (0, 0));//0255, 0 255 0, 0,0,255 red blue green
}
Imshow (" profile ", matSrc);
Imwrite (" profile. JPG ", matSrc);
}
1.0 source code version download address:

https://download.csdn.net/download/blackangelboy/12157111
Program running effect the following





2.0 source code version download address:

https://download.csdn.net/download/blackangelboy/12158766
Program running effect the following


Source code from the Internet, please do not commercial!

Have development needs can contact me, custom development intelligent recognition algorithm.



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Opencv library classes set methods:

Detailed reference please go to: https://blog.csdn.net/qq_39987952/article/details/90700277