/// <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]);
}
}
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！");
}
}
/// <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);
imgNoised = Image2Num((Bitmap)img_noise);
pb_noise.Image = img_noise;
}
/// <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();
imgBinary = ImageProcess.Binary((Bitmap)imgBinary);
imgBinaried = Image2Num((Bitmap)imgBinary);
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
int v = ImageProcess.ComputeThresholdValue((Bitmap)img_noise);
Image img_bg = ImageProcess.RemoveBg((Bitmap)img_noise, v);
imgBged = Image2Num((Bitmap)img_bg);
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)
{
Image img2 = (Image)pborigin.Image.Clone();
string sb = ImageProcess.GetYZMCode(img2, zimoPath, noiseThreshold, 20, 30, graytype, isFourChars, minWidth);
char[] cs = sb.ToCharArray();
for (int i = 0; i < 8; i++)
{
TextBox tb = this.Controls.Find("txt" + (i + 1), true).FirstOrDefault() as TextBox;
if (cs.Length > i)
{
tb.Text = cs[i].ToString();
}
else
{
tb.Text = "";
}
}
}
/// <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);
//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);
pb_grey.Image = img_grey;
}
private void btn_cutImage_Click(object sender, EventArgs e)
{
Image img_cut = (Image)pb_noise_binary.Image.Clone();
List <Bitmap> list = ImageProcess.CutImage(img_cut, 20, 30, isFourChars, minWidth);
cutResult = list;
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;
}
if (list.Count >= 7)
{
pb7.Image = list[6];
}
else
{
pb7.Image = nullImg;
}
if (list.Count >= 8)
{
pb8.Image = list[7];
}
else
{
pb8.Image = nullImg;
}
}
