读取条形码用网络摄像头 [英] reading a barcode with a webcam
问题描述
嘿，结果
我想读我的摄像头一个EAN-13条码。结果
我已经写了一个类做的工作。结果
我肯定在拍摄照片从我的摄像头，修边是否只显示条形码，结果
，并与维基百科的代码表读取条形码。结果
出于某种原因，条形码得到修整，但输出始终是0-1-1-1-1-1-1-1-1-1-1-1-1。结果
我在想，如果我没有任何愚蠢的错误或误解的东西吗？ ！
Hey,
I'm trying to read a EAN-13 barcode from my webcam.
I already wrote a class to do that work.
I'm taking a picture from my webcam, trimming it to show ONLY the barcode,
and reading the barcode with the code tables from wikipedia.
For some reason, the barcode gets trimmed, but the output is always "0-1-1-1-1-1-1-1-1-1-1-1-1".
I wonder if i did any stupid mistake or misunderstood something?
我不希望使用任何第三方程序
I do not want to use ANY third-party programs!
这是我的代码现在：
public class BarcodeDecoder
{
static string[] ligerade = new string[] { "0100111", "0110011", "0011011", "0100001", "0011101", "0000101", "0010001", "0001001", "0010111" };
static string[] rechtsgerade = new string[ligerade.Length];
static string[] liungerade = new string[ligerade.Length];
static string[] GeradeUG = new string[] { "UUUUUU", "UUGUGG", "UUGGUG", "UUGGGU", "UGUUGG", "UGGUUG", "UGGGUU", "UGUGUG", "UGUGGU", "UGGUGU" };
static int[] links;
static int[] rechts;
static string result;
public static string Decode(Bitmap b)
{
result = "";
Bitmap bb = CutOutOf(b, b.Height / 2);
bb = trimBitmap(bb);
int[] lgs = GetNumberOutOf(bb);
int[][] rr = trimArray(lgs);
links = rr[0];
rechts = rr[1];
FillArrays();
BearbeiteLinks();
BearbeiteRechts();
return result;
}
static void BearbeiteLinks()
{
string GU = "";
string[] zahlen = new string[6];
zahlen[0] = OutOfArray(links, 0, 7);
zahlen[1] = OutOfArray(links, 7, 7);
zahlen[2] = OutOfArray(links, 14, 7);
zahlen[3] = OutOfArray(links, 21, 7);
zahlen[4] = OutOfArray(links, 28, 7);
zahlen[5] = OutOfArray(links, 35, 7);
foreach (string pq in zahlen)
{
bool gerade = ligerade.ToList().IndexOf(pq) > -1;
if (gerade)
{
result += ligerade.ToList().IndexOf(pq).ToString();
GU += "G";
}
else
{
result += liungerade.ToList().IndexOf(pq).ToString();
GU += "U";
}
}
result = GeradeUG.ToList().IndexOf(GU).ToString() + result;
}
static void BearbeiteRechts()
{
string[] zahlen = new string[6];
zahlen[0] = OutOfArray(rechts, 0, 7);
zahlen[1] = OutOfArray(rechts, 7, 7);
zahlen[2] = OutOfArray(rechts, 14, 7);
zahlen[3] = OutOfArray(rechts, 21, 7);
zahlen[4] = OutOfArray(rechts, 28, 7);
zahlen[5] = OutOfArray(rechts, 35, 7);
foreach (string pq in zahlen)
{
result += rechtsgerade.ToList().IndexOf(pq).ToString();
}
}
static string OutOfArray(int[] ar, int startindex, int length)
{
int[] gar = new int[length];
Array.Copy(ar, startindex, gar, 0, length);
StringBuilder bilder = new StringBuilder();
for (int i = 0; i < gar.Length; i++)
{
bilder.Append(gar[i].ToString());
}
return bilder.ToString();
}
static Bitmap trimBitmap(Bitmap b)
{
bool alreadyBlack = false;
int firstblack = 0;
for (int i = 0; i < b.Width; i++)
{
Color gp = b.GetPixel(i, 0);
if ((gp.R + gp.G + gp.B) / 3 < 128)
{
if (!alreadyBlack)
{
alreadyBlack = true;
firstblack = i;
}
}
}
bool alreadyblack = false;
int lastblack = 0;
for (int i = b.Width -1; i > 0; i--)
{
Color gpp = b.GetPixel(i, 0);
if ((gpp.R + gpp.G + gpp.B) / 3 < 128)
{
if (!alreadyblack)
{
alreadyblack = true;
lastblack = i;
}
}
}
Bitmap result = new Bitmap(lastblack - firstblack, 1);
for (int i = firstblack; i < lastblack; i++)
{
Color c = b.GetPixel(i, 0);
result.SetPixel(i - firstblack, 0, c);
}
result.Save("C:\\result.bmp", System.Drawing.Imaging.ImageFormat.Bmp);
return result;
}
static int[][] trimArray(int[] ar)
{
int[][] res = new int[2][];
int[] resl = new int[6 * 7];
int[] resr = new int[6 * 7];
Array.Copy(ar, 2, resl, 0, 6 * 7);
Array.Copy(ar, 2 + 6 * 7 + 5, resr, 0, 6 * 7);
res[0] = resl;
res[1] = resr;
return res;
}
static void FillArrays()
{
for (int i = 0; i < ligerade.Length; i++)
{
rechtsgerade[i] = string.Concat(ligerade[i].Reverse());
}
for (int x = 0; x < liungerade.Length; x++)
{
liungerade[x] = Invert(rechtsgerade[x]);
}
}
static string Invert(string xx)
{
string xs = "";
for (int y = 0; y < xx.Length; y++)
{
int fd = int.Parse(xx[y].ToString());
if (fd == 0)
fd = 1;
else
fd = 0;
xs += fd.ToString();
}
return xs;
}
static Bitmap CutOutOf(Bitmap b, int y)
{
Bitmap res = new Bitmap(b.Width, 1);
for (int i = 0; i < b.Width; i++)
{
Color c = b.GetPixel(i, y);
res.SetPixel(i, 0, c);
}
return res;
}
static int[] GetNumberOutOf(Bitmap bb)
{
List<int> intlst = new List<int>();
float f = (float)bb.Width / 95.0f;
float wd = f / 2.0f;
for (float i = wd; i < bb.Width; i+=f)
{
Color c = bb.GetPixel((int)Math.Round(i,0), 0);
intlst.Add(GetOutOfColor(c));
}
return intlst.ToArray();
}
static int GetOutOfColor(Color c)
{
if (c.A + c.B + c.R > 128 * 3)
{
return 0;
}
return 1;
}
}
抱歉代码德国名字！
Sorry for german names in the code!
推荐答案
我看到了两个问题：
1）您只扫描最顶端图像的像素行（见的第二个参数的 GetPixel 的）。您的条形码可能是不是在顶部的图像和中东。
1) You only scan the top most pixel row of your image (see the second parameter of GetPixel). Your barcode is probably in the middle of the image and not at the top.
Color c = bb.GetPixel((int)Math.Round(i,0), 0);
2）代替绿色分量的，则采取阿尔法分量到着色像素转换成二进制值。由于alpha分量大概是始终为255，你总是0，除非你有一个非常暗的像素。
2) Instead of the green component, you take the alpha component to convert the colored pixel into a binary value. Since the alpha component is probably always 255, you always get 0 unless you have a very dark pixel.
if (c.A + c.B + c.R > 128 * 3)
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