/// <summary>
/// 字模学习入库
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void btn_CodeStudy_Click(object sender, EventArgs e)
{
if (cutResult != null)
{
string[] zimos = File.ReadAllLines(zimoPath);
string zimo = string.Empty;
StringBuilder sb = new StringBuilder();
string[] stuCode = new string[] { txt1.Text.Trim(), txt2.Text.Trim(), txt3.Text.Trim(), txt4.Text.Trim(), txt5.Text.Trim( ), txt6.Text.Trim( ), txt7.Text.Trim(), txt8.Text.Trim() };
for (int i = 0; i < cutResult.Count; i++)
{
if (!string.IsNullOrEmpty(stuCode[i]))
{
ImageProcess.WriteZimo(cutResult[i], zimoPath, stuCode[i]);
}
}
//File.AppendAllText(zimoPath, sb.ToString());
txt1.Text = "";
txt2.Text = "";
txt3.Text = "";
txt4.Text = "";
txt5.Text = "";
txt6.Text = "";
txt7.Text = "";
txt8.Text = "";
}
else
{
MessageBox.Show("验证码分割过程错误！");
}
groupBox_Study.Enabled = false;
}
/// <summary>
/// 三种方式下灰度
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void btn_gray_Click(object sender, EventArgs e)
{
Image img = pborigin.Image;
Image img_grey = (Image)img.Clone();
imgOriginal = Image2Num((Bitmap )img_grey);
if (!Directory.Exists("experiment\\"))
{
Directory.CreateDirectory("experiment\\");
}
//imgurl = pborigin.ImageLocation;
WriteToFile(imgOriginal, "experiment\\" + Path.GetFileNameWithoutExtension(imgurl) + "_original.txt");
//WriteToFile(imgGraying, "e:\\yanzhengma\\gray"+pborigin.ImageLocation);
//灰度化处理
//img_gray = ccccccmd.ImageHelper.Gray(img_gray, ccccccmd.ImageHelper.AlgorithmsType.AverageValue);//平均
//img_gray = ccccccmd.ImageHelper.Gray(img_gray, ccccccmd.ImageHelper.AlgorithmsType.MaxValue );//最大值
// img_gray = ccccccmd.ImageHelper.Gray(img_gray, ccccccmd.ImageHelper.AlgorithmsType.WeightAverage);//加权
graytype = 2;
if (rb_max.Checked)
{
graytype = 1;
}
if (rb_quanzhong.Checked)
{
graytype = 3;
}
img_grey = ImageProcess.Gray((Bitmap)img_grey, graytype);
imgGreied = Image2Num((Bitmap)img_grey);
WriteToFile(imgGreied, "experiment\\" + Path.GetFileNameWithoutExtension(imgurl) + "_greied.txt");
pb_grey.Image = img_grey;
}
/// <summary>
/// 去噪点
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void btn_noise_Click(object sender, EventArgs e)
{
Image img_noise = ImageProcess.RemoveNoise((Bitmap)pb_bg.Image.Clone(), noiseThreshold);
//img_noise = ccccccmd.ImageHelper.ClearNoise(img_noise, v, 2);
imgNoised = Image2Num((Bitmap)img_noise);
WriteToFile(imgNoised, "experiment\\" + Path.GetFileNameWithoutExtension(imgurl) + "_noised.txt");
pb_noise.Image = img_noise;
}
private void btn_cutImage_Click(object sender, EventArgs e)
{
// Image img_cut =(Image) pb_gray_binary.Image.Clone();
Image img_cut = (Image)pb_noise_binary.Image.Clone();
List <Bitmap> list = ImageProcess.CutImage(img_cut, 20, 30, isFourChars, minWidth);
cutResult = list;
// ccccccmd.ImageHandler handler = new ccccccmd.ImageHandler();
// List<Bitmap> list= handler.CutImage(img_cut,56);
//Bitmap[] list = ccccccmd.ImageHelper.CutImage(4,1,(Bitmap )img_cut);
pb1.Image = list[0];
if (list.Count >= 2)
{
pb2.Image = list[1];
}
else
{
pb2.Image = nullImg;
}
if (list.Count >= 3)
{
pb3.Image = list[2];
}
else
{
pb3.Image = nullImg;
}
if (list.Count >= 4)
{
pb4.Image = list[3];
}
else
{
pb4.Image = nullImg;
}
if (list.Count >= 5)
{
pb5.Image = list[4];
}
else
{
pb5.Image = nullImg;
}
if (list.Count >= 6)
{
pb6.Image = list[5];
}
else
{
pb6.Image = nullImg;
}
}
/// <summary>
/// 二值化处理
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void btn_binary_Click(object sender, EventArgs e)
{
//去噪处理后的图片
Image imgBinary = (Image)pb_noise.Image.Clone();
//int v2 = ccccccmd.ImageHelper.ComputeThresholdValue((Bitmap)imgBinary);
// int v2 = ImageProcess.ComputeThresholdValue((Bitmap)imgBinary);
// imgBinary = ImageProcess.PBinary((Bitmap)imgBinary, v2);
imgBinary = ImageProcess.Binary((Bitmap)imgBinary);
imgBinaried = Image2Num((Bitmap)imgBinary);
WriteToFile(imgBinaried, "experiment\\" + Path.GetFileNameWithoutExtension(imgurl) + "_binaried.txt");
pb_noise_binary.Image = imgBinary;
}
/// <summary>
/// 去背景
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void btn_bg_Click(object sender, EventArgs e)
{
Image img_noise = (Image)pb_grey.Image.Clone();
//得到灰度图像前景色临界值
// img_noise = ccccccmd.ImageHelper.RemoveBlock(img_noise,2);//报错
//int v = ImageProcess.GetDgGrayValue(img_noise);
int v = ImageProcess.ComputeThresholdValue((Bitmap)img_noise);
//Image test = ImageProcess.RemoveBg((Bitmap)img_noise ,v );
// int v2 = Test.ImageProcess.GetDgGrayValue(img_noise);
Image img_bg = ImageProcess.RemoveBg((Bitmap)img_noise, v); //-----------去背景，内存法
imgBged = Image2Num((Bitmap)img_bg);
WriteToFile(imgBged, "experiment\\" + Path.GetFileNameWithoutExtension(imgurl) + "_bged.txt");
pb_bg.Image = img_bg;
}
/// <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！");
}
}