提供的数据元素号(0)应该是Mat通道数(1)Android OpenCV的倍数

时间:2015-10-21 14:44:42

标签: android opencv transformation rect

我正在尝试从矩形物体(纸张)中找到4个角。

                Mat source = new Mat();

                Org.Opencv.Core.Point center;

               public GetCorners(Bitmap _sourceImg)
                {
                    Utils.BitmapToMat(_sourceImg, source);
                }
               //find corners
                public void FindCorners()
                {
                    center = new Org.Opencv.Core.Point(0, 0);
                    //Mat source = new Mat();

                    if (source == null)
                    {
                        Console.WriteLine("No IMG");
                        return;
                    }

                    Mat BlackWhite = new Mat();

                    Imgproc.CvtColor(source, BlackWhite, Imgproc. ColorBgr2gray);  //ColorBgra2gray, 4);

                    Imgproc.Blur(BlackWhite, BlackWhite, new Size(3, 3));

                    Imgproc.Canny(BlackWhite, BlackWhite, 100, 100, 3, true);

                    Mat Lines = new Mat();
                    int treshold = 70;
                    int minLinsize = 30;
                    int lineGap = 10;

                    Imgproc.HoughLinesP(BlackWhite, Lines, 1, Math.PI / 180, treshold, minLinsize, lineGap);

                    for (int i = 0; i < Lines.Cols(); i++)
                    {
                        double[] Vector = Lines.Get(0, i);
                        double[] Value = new double[4];

                        Value[0] = 0;
                        Value[1] = ((float) Vector[1] - Vector[3]) / (Vector[0] - Vector[2]) * -Vector[0] + Vector[1];
                        Value[2] = source.Cols();
                        Value[3] = ((float)Vector[1] - Vector[3]) / (Vector[0] - Vector[2]) * (source.Cols() - Vector[2]) + Vector[3];

                        Lines.Put(0, i, Value);
                    }


                    Console.WriteLine("##Quantity {0} Founded##",Lines.Cols());
                    List<Org.Opencv.Core.Point> Corners = new List<Org.Opencv.Core.Point>();

                    for (int i = 0; i < Lines.Cols(); i++)
                    {
                        for (int j = 0 ; i < Lines.Cols(); j++)
                        {
                            Mat m1 = new Mat(),
                            m2 = new Mat();
                            double[] d1 = Lines.Get(0, i);
                            double[] d2 = Lines.Get(0, j);
                            m1.Put(0, j, d1);
                            m2.Put(0, j, d2);
                    try
                    {
                    //i'm getting exception here
                    Org.Opencv.Core.Point pt = ComputeInteresect(Lines.Get(0, i), Lines.Get(0, j)); //(m1, m2);

                        if (pt.X >= 0 && pt.Y >= 0)
                        {
                            Corners.Add(pt);
                            Console.WriteLine ("dobavleno {0} koordinat",Corners.Count);
                        }
                    }
                    catch (Exception ex)
                    {
                        Console.WriteLine(ex.Message);
                    }     
                        }
                    }

我还有一个计算相交的方法:

static Org.Opencv.Core.Point ComputeInteresect(double[] a, double[] b) //(Mat es,Mat es2)// 
                {
                    double x1 = a[0], y1 = a[1], x2 = a[2], y2 = a[3], x3 = b[0], y3 = b[1], x4 = b[2], y4 = b[3];
                    double denom = ((x1 - x2) * (y3 - y4)) - ((y1 - y2) * (x3 - x4));
                    Org.Opencv.Core.Point pt = new Org.Opencv.Core.Point();
                    if (denom != 0)
                    {

                        pt.X = ((x1 * y2 - y1 * x2) * (x3 - x4) - (x1 - x2)
                            * (x3 * y4 - y3 * x4))
                            / denom;
                        pt.Y = ((x1 * y2 - y1 * x2) * (y3 - y4) - (y1 - y2)
                            * (x3 * y4 - y3 * x4))
                            / denom;
                        return pt;
                    } 
                    else
                        return new Org.Opencv.Core.Point(-1, -1);
                }  

我不明白为什么,但我得到了这个例外:

  

java.lang.UnsupportedOperationException:   提供的数据元素编号(0)   应该是Mat频道的多个   count(1)

我发现,当图像处于RGB格式(并且有4个通道)时会出现此问题,但首先,我通过此方法转换为灰色(1通道) :

Imgproc.CvtColor(source, BlackWhite, Imgproc. ColorBgr2gray);  //ColorBgra2gray, 4);  

任何帮助将不胜感激,谢谢!

1 个答案:

答案 0 :(得分:0)

最后,我更改了部分代码及其工作:

public class ExceptionLogFilterAttribute : HandleErrorAttribute
{
    public override void OnException(ExceptionContext filterContext)
    {
        System.Diagnostics.Trace
            .TraceError(string.Format("{0}\r\n\r\n", 
                        filterContext.Exception.ToString()));

        base.OnException(filterContext);
    }
}