rchavezj / opencv_projects Goto Github PK

        `Mat image = new Mat();
        Microsoft.Win32.OpenFileDialog openFileDlg = new Microsoft.Win32.OpenFileDialog();
        Nullable<bool> result = openFileDlg.ShowDialog();
        if (result == true)
        {
            image = Cv2.ImRead(openFileDlg.FileName);
        }
        
        Mat GrayImage = new Mat();
        Cv2.CvtColor(image, GrayImage, ColorConversionCodes.BGR2GRAY);

        Mat BlurImage = new Mat();
        Cv2.GaussianBlur(GrayImage,BlurImage, new OpenCvSharp.Size(5,5),0);

        Mat CannyImage = new Mat();
        OpenCvSharp.Point[][] contours;
        HierarchyIndex[] hierarchy;
        Cv2.Canny(BlurImage, CannyImage, 80, 150,7);

        Cv2.ImShow("Original Image", image);
        Cv2.ImShow("Canny Edged Image", CannyImage);
        Cv2.DestroyAllWindows();
       
        Cv2.FindContours(CannyImage, out contours, out hierarchy,RetrievalModes.External, ContourApproximationModes.ApproxSimple);

        image.SaveImage(@"C:\Users\TestAccount\Documents\AutoCrop_OpenCV\Output03012022\20220103.jpeg");

        var contourIndex = 0;
        var previousArea = 0;
        var biggestContourRect = Cv2.BoundingRect(contours[0]);
        while ((contourIndex >= 0))
        {
            var contour = contours[contourIndex];

            var boundingRect = Cv2.BoundingRect(contour); //Find bounding rect for each contour
            var boundingRectArea = boundingRect.Width * boundingRect.Height;
            if (boundingRectArea > previousArea)
            {
                biggestContourRect = boundingRect;
                previousArea = boundingRectArea;
            }
            
            contourIndex = hierarchy[contourIndex].Next;
        }
        

        var finalImage = new Mat(image, biggestContourRect); //Crop the image
        string outputBaseDirectory = @"C:\Users\TestAccount\Documents\AutoCrop_OpenCV\Output03012022";
        finalImage.SaveImage(string.Format("{0}{1}{2}", outputBaseDirectory, "\\Output", System.IO.Path.GetFileName(openFileDlg.FileName)));
        Cv2.ImShow("Final Image", finalImage);`