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public static PreProcess ( Image img, int maxNearPoints, int smallPicWidth, int smallPicHeight, int type = 2, bool is4Chars = true, int charWidth = 10 ) : List |
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| img | Image | 验证码图片 |
| maxNearPoints | int | 噪点最大粘连数目 |
| smallPicWidth | int | 切分小图宽度 |
| smallPicHeight | int | 切分小图高度 |
| type | int | 灰度处理方式1：最大值2：平均值3：加权平均 |
| is4Chars | bool | |
| charWidth | int | |
| 리턴 | List |
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public static List<Bitmap> PreProcess(Image img, int maxNearPoints, int smallPicWidth, int smallPicHeight,int type=2,bool is4Chars=true,int charWidth=10)
{
img = Gray((Bitmap)img,type);
int v = ComputeThresholdValue((Bitmap)img);
img = RemoveBg((Bitmap)img, v);
img = RemoveNoise((Bitmap)img, maxNearPoints);
img = Binary((Bitmap)img);
List<Bitmap> list = CutImage(img, smallPicWidth, smallPicHeight,is4Chars,charWidth);
return list;
}
/// <summary> /// <summary>
/// 识别
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void btn_recognize_Click(object sender, EventArgs e)
{
if (!string.IsNullOrEmpty(zimoPath))
{
#region past
//Image img = (Image)pborigin.Image.Clone();
//img = ImageProcess.Gray((Bitmap)img);
//int v = ImageProcess.GetDgGrayValue(img);
//img = ImageProcess.RemoveBg((Bitmap)img, v);
//img = ImageProcess.RemoveNoise((Bitmap)img, 1);
//img = ImageProcess.Binary((Bitmap)img);
//List<Bitmap> list = ImageProcess.CutImage(img, img.Width / 4, img.Height);
//cutResult = list;
//pictureBox2.Image = list[0];
//pictureBox3.Image = list[1];
//pictureBox4.Image = list[2];
//pictureBox5.Image = list[3];
//StringBuilder sb = new StringBuilder();
////读取字模
//string[] zimo = File.ReadAllLines(zimoPath);
//if (zimo.Length > 0)
//{
// for (int j = 0; j < cutResult.Count; j++)
// {
// Dictionary<string, int> d = new Dictionary<string, int>();
// for (int i = 0; i < zimo.Length; i++)
// {
// string[] dic = zimo[i].Split(new string[] { "--" }, StringSplitOptions.None);
// //计算相似度
// int rate = ImageProcess.CalcRate(ImageProcess.GetBinaryCode(cutResult[j]), dic[1]);
// //把字符和其对应的相似度存入字典
// if (d.ContainsKey(dic[0]))
// {
// if (rate > d[dic[0]])
// {
// d.Remove(dic[0]);
// d.Add(dic[0], rate);
// }
// }
// else
// {
// d.Add(dic[0], rate);
// }
// }
// //找到相似度最高的
// sb.Append(Sort(d));
// }
//}
//else
//{
// MessageBox.Show("字模数据库为空!请直接学习添加！");
// groupBox_Study.Visible = true;
//}
#endregion
//List<Bitmap> list = ImageProcess.PreProcess(pborigin.Image, 1, pborigin.Image.Width/4,
// pborigin.Image.Height,graytype);
Image img = (Image)pborigin.Image.Clone();
List <Bitmap> list = ImageProcess.PreProcess(img, noiseThreshold, 20, 30, graytype, isFourChars, minWidth);
cutResult = list;
pictureBox2.Image = list[0];
if (list.Count >= 2)
{
pictureBox3.Image = list[1];
}
else
{
pictureBox3.Image = nullImg;
}
if (list.Count >= 3)
{
pictureBox4.Image = list[2];
}
else
{
pictureBox4.Image = nullImg;
}
if (list.Count >= 4)
{
pictureBox5.Image = list[3];
}
else
{
pictureBox5.Image = nullImg;
}
if (list.Count >= 5)
{
pictureBox6.Image = list[4];
}
else
{
pictureBox6.Image = nullImg;
}
if (list.Count >= 6)
{
pictureBox7.Image = list[5];
}
else
{
pictureBox7.Image = nullImg;
}
if (list.Count >= 7)
{
pictureBox10.Image = list[6];
}
else
{
pictureBox10.Image = nullImg;
}
if (list.Count >= 8)
{
pictureBox11.Image = list[7];
}
else
{
pictureBox11.Image = nullImg;
}
//string sb = ImageProcess.GetYZMCode(pborigin.Image, zimoPath, 1, pborigin.Image.Width/4,
// pborigin.Image.Height,graytype);
Image img2 = (Image)pborigin.Image.Clone();
string sb = ImageProcess.GetYZMCode(img2, zimoPath, noiseThreshold, 20, 30, graytype, isFourChars, minWidth);
lbl_recoResult.Text = sb;
btn_OK.Enabled = true;
btn_NO.Enabled = true;
}
else
{
MessageBox.Show("没有加载字模位置！");
}
}
