从byte []创建图像时C＃/ EmguCv参数超出范围异常(C# / EmguCv Argument Out of Range exception when creating images from byte[])

 我尝试使用edgeimages上的MatchTemplate来查找图像中的教学对象。 作为图像源我使用了一个kinect2。 我首先教一个边缘图像，然后在以后捕获的图​​像中搜索教导的模板。 用canny计算边缘图像效果很好。 我将边缘保存为byte [] 
 
byte[] bytes = cannyFrame.GetData();
 
 后来我尝试用给定的数据创建图像。 不幸的是，有时创建图像运行在ArgumentOutOfRange-Exception中，并声称该数组很大。 有时发生异常，有时不会发生。 创建当前图像以及创建教导图像时会发生异常（请参阅我的代码中的注释）。 任何人都可以告诉我，为什么会发生这种异常？ 
 
        Bitmap bmp; 

        //bmp is filled with the image from the kinect

        int width;
        int height;
        byte[] currentEdges = EdgeDetector.CalculateEdges(bmp, referenceImage.BorderOne, referenceImage.BorderTwo, out width, out height);
        try
        {
            Console.WriteLine("ref width: {0}, height: {1}, byte[]length: {2}", referenceImage.Width_px, referenceImage.Height_px, referenceImage.Edges.Length);                
            //Here happens the exception sometimes: 
            Image<Gray, byte> templateImage = new Image<Gray, byte>(referenceImage.Width_px, referenceImage.Height_px);
            templateImage.Bytes = referenceImage.Edges;
            Console.WriteLine("current image width: {0}, height: {1}, byte[]length: {2}", width, height, currentEdges.Length);

            //Here happens the exception sometimes: 
            Image<Gray, byte> searchImage = new Image<Gray, byte>(width, height);
            searchImage.Bytes = currentEdges;
            Console.WriteLine("");
            Image<Gray, float> imgMatch = searchImage.MatchTemplate(templateImage, TemplateMatchingType.CcoeffNormed);
            }
        catch (Exception)
        {                
            Console.WriteLine(ex.ToString());
        }


    internal class EdgeDetector
    {
        internal static byte[] CalculateEdges(Bitmap bmp, int borderOne, int borderTwo, out int width, out int height)
        {
            try
            {
                Image<Bgr, byte> img = new Image<Bgr, byte>(bmp);

                Mat smallGrayFrame = new Mat();
                Mat smoothedGrayFrame = new Mat();
                Mat cannyFrame = new Mat();

                CvInvoke.PyrDown(img, smallGrayFrame);

                CvInvoke.PyrUp(smallGrayFrame, smoothedGrayFrame);

                CvInvoke.Canny(smoothedGrayFrame, cannyFrame, borderOne, borderTwo);

                byte[] bytes = cannyFrame.GetData();

                width = cannyFrame.Width;
                height = cannyFrame.Height;

                return bytes;
            }
            catch (Exception ex)
            {
                width = 0;
                height = 0;
                return null;
            }
        }
 
 示例输出：ref宽度：46，高度：44，字节[]长度：2024 System.ArgumentOutOfRangeException：请求的范围延伸超过数组的末尾。 在System.Runtime.InteropServices.Marshal.CopyToNative（对象源，Int32的tartIndex，IntPtr目标，Int32长度）在Emgu.CV.CvArray`1.set_Bytes（字节[]值）在AlgorithmsHelper.SearchEdgeImage（AssistentEdgeImageOpenCv referenceImage，Image currentImage ） 
 
 任何帮助表示赞赏。 

I try to use the MatchTemplate on edgeimages to find teached objects in an image. As image source i use a kinect2. I first teach an edge image and search the teached template in later captured image. Calculating the edge images with canny works very good. I save the edges as byte[] with
 
byte[] bytes = cannyFrame.GetData();
 
Later I try to create Image with the given data. Unfortunately sometimes creating the image runs in a ArgumentOutOfRange-Exception and claims that the array is to big. Sometimes the exception occurs and sometimes it doesn't occure. The exception can occur creating the current image and also when I'm creating the teached image (see comments in my code). Can anybody tell me, why this exception occurs?
 
        Bitmap bmp; 

        //bmp is filled with the image from the kinect

        int width;
        int height;
        byte[] currentEdges = EdgeDetector.CalculateEdges(bmp, referenceImage.BorderOne, referenceImage.BorderTwo, out width, out height);
        try
        {
            Console.WriteLine("ref width: {0}, height: {1}, byte[]length: {2}", referenceImage.Width_px, referenceImage.Height_px, referenceImage.Edges.Length);                
            //Here happens the exception sometimes: 
            Image<Gray, byte> templateImage = new Image<Gray, byte>(referenceImage.Width_px, referenceImage.Height_px);
            templateImage.Bytes = referenceImage.Edges;
            Console.WriteLine("current image width: {0}, height: {1}, byte[]length: {2}", width, height, currentEdges.Length);

            //Here happens the exception sometimes: 
            Image<Gray, byte> searchImage = new Image<Gray, byte>(width, height);
            searchImage.Bytes = currentEdges;
            Console.WriteLine("");
            Image<Gray, float> imgMatch = searchImage.MatchTemplate(templateImage, TemplateMatchingType.CcoeffNormed);
            }
        catch (Exception)
        {                
            Console.WriteLine(ex.ToString());
        }


    internal class EdgeDetector
    {
        internal static byte[] CalculateEdges(Bitmap bmp, int borderOne, int borderTwo, out int width, out int height)
        {
            try
            {
                Image<Bgr, byte> img = new Image<Bgr, byte>(bmp);

                Mat smallGrayFrame = new Mat();
                Mat smoothedGrayFrame = new Mat();
                Mat cannyFrame = new Mat();

                CvInvoke.PyrDown(img, smallGrayFrame);

                CvInvoke.PyrUp(smallGrayFrame, smoothedGrayFrame);

                CvInvoke.Canny(smoothedGrayFrame, cannyFrame, borderOne, borderTwo);

                byte[] bytes = cannyFrame.GetData();

                width = cannyFrame.Width;
                height = cannyFrame.Height;

                return bytes;
            }
            catch (Exception ex)
            {
                width = 0;
                height = 0;
                return null;
            }
        }
 
an example output: ref width: 46, height: 44, byte[]length: 2024 System.ArgumentOutOfRangeException: Requested range extends past the end of the array. at System.Runtime.InteropServices.Marshal.CopyToNative(Object source, Int32 s tartIndex, IntPtr destination, Int32 length) at Emgu.CV.CvArray`1.set_Bytes(Byte[] value) at AlgorithmsHelper.SearchEdgeImage(AssistentEdgeImageOpenCv referenceImage, Image currentImage)
 
Any help is appreciated.

原文：https://stackoverflow.com/questions/43732588