/// <summary>
/// author:liusimawen
/// date:2018-04-19
/// 训练样本--旋转训练集
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void 旋转训练集ToolStripMenuItem_Click(object sender, EventArgs e)
{
try
{
DateTime dtStart = DateTime.Now;
//总样本数
Matrix <float> trainData = new Matrix <float>(6200, 50);
//生成--输出矩阵
Matrix <float> trainClasses = new Matrix <float>(6200, 31);
Matrix <float> sample = new Matrix <float>(1, 50);
Matrix <float> prediction = new Matrix <float>(1, 31);
DirectoryInfo theFolder = new DirectoryInfo(@"F:\毕业设计2018届刘锋\OOP.PictureAnalyse\myCharSamples\A16-浪潮-验证码样本数据\验证码样本数据\data-3\sample");
DirectoryInfo[] dirInfo = theFolder.GetDirectories();
//遍历文件夹
for (int dc = 0; dc < dirInfo.Length; dc++)//max--36
{
DirectoryInfo NextFolder = dirInfo[dc];
string[] files = Directory.GetFiles(NextFolder.FullName, "*.bmp", SearchOption.AllDirectories);
for (int fc = 0; fc < files.Length; fc++)//max--50
{
try
{
Bitmap bmp50 = (Bitmap)Image.FromFile(files[fc]);
//旋转纠正
bmp50 = DegreeCorrect(bmp50);
Matrix <float> rowPP = PicUtils.calPixlPercent(bmp50, 5, 10);
//将特征向量赋值给输入矩阵
for (int rppc = 0; rppc < rowPP.Cols; rppc++)
{
trainData.Data[dc * files.Length + fc, rppc] = rowPP[0, rppc];
}
//初始化trainClasses,对应位置的值设置为1
trainClasses.Data[dc * files.Length + fc, dc] = 1;
}
catch (Exception sex)
{
continue;
}
}
}
PicUtils.trainANN(trainData, trainClasses);
DateTime dtEnd = DateTime.Now;
TimeSpan ts = dtEnd - dtStart;
MessageBox.Show("样本训练完成，已保存xml文件！用时" + ts.TotalMinutes);
}
catch (Exception ex) { }
}
/// <summary>
/// 将一幅图片以数组的形式存入数据库
/// </summary>
/// <param name="cutbmp"></param>
public void SaveCutBmpToAccess(Bitmap cutbmp) //mark是图片的标记
{
try
{
double pp = PicUtils.PixlPercent(cutbmp);
MemoryStream ms = new MemoryStream();
cutbmp.Save(ms, System.Drawing.Imaging.ImageFormat.Bmp);
ms.Flush();
//将二进制数据存到byte数字中
byte[] bmpBytes = ms.ToArray();
pictureBox1.Image = Image.FromStream(new MemoryStream(bmpBytes));
StringBuilder sb = new StringBuilder();
for (int i = 0; i < bmpBytes.Length; i++)
{
if (i != bmpBytes.Length - 1)
{
sb.Append(bmpBytes[i] + ",");
}
else
{
sb.Append(bmpBytes[i]);
}
}
if (sb.Length > 65536)
{
sb.Clear();
sb.Append("该图片太大了，字节数超过65536");
}
mycnn.ConnectionString = Myconnstr;
cmd.Connection = mycnn;//出错,因为cmd为空
mycnn.Open();
cmd.CommandText = "delete from AfterCut";
cmd.ExecuteNonQuery();
cmd.CommandText = "insert into AfterCut(content_,pixel_percent) values('" + sb.ToString() + "','" + pp.ToString() + "')";//access数据库中的备注类型最大长度为65536，所以图片不能太大
cmd.ExecuteNonQuery();
}
catch (Exception w)
{
MessageBox.Show(w.ToString());
}
finally
{
mycnn.Close();
}
}
/// <summary>
/// author:liusimawen
/// date:2018-04-19
/// 单个字符识别按钮
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void button3_Click_1(object sender, EventArgs e)
{
Bitmap bmpTest = (Bitmap)pictureBox1.Image;
//灰度化
bmpTest = MyUtils.ToGray(bmpTest);
//二值化
bmpTest = PicUtils.Sauvola(bmpTest);
//图像去躁
bmpTest = bmpTest.Clone(new Rectangle(0, 0, bmpTest.Width, bmpTest.Height), PixelFormat.Format24bppRgb);
bmpTest = MyUtils.MyGussianBlur(bmpTest);
MyUtils.ClearNoise(bmpTest, MyUtils.GetDgGrayValue(bmpTest), 4);//按照需要进行设置
//图像分割，应该返回4个子图像
List <Bitmap> littleBmpArray = PicUtils.SimpleCutTo4(bmpTest);//CutImg(cutbmp);
//如果子图像不为4个，则跳过本图，继续下一张图片
if (littleBmpArray.Count != 4)
{
return;
}
//再对子图像去除多余的空白部分
//一张图像里的所有字符
StringBuilder resultSb = new StringBuilder();
for (int lba = 0; lba < littleBmpArray.Count; lba++)
{
if (littleBmpArray[lba] == null)
{
continue;
}
//旋转纠正
littleBmpArray[lba] = DegreeCorrect(littleBmpArray[lba]);
//System.Threading.Thread.Sleep(2000);
char resultChar = PicUtils.regANN(littleBmpArray[lba]);
resultSb.Append(resultChar);
}
resullt_box.Text = resultSb.ToString();
}
private void button7_Click(object sender, EventArgs e)
{
//PicUtils.FindColor(246, 130, 444, 289, "3cc4c4",0.9);
//PicUtils.FindColor(246, 130, 444, 289, "3cc4c4", 0.93);
//PicUtils.FindColorFromFile(@"C:\Users\gypc\Pictures\dn\小图\小地图.bmp", "62b040", 0.80, "80.bmp");
//PicUtils.FindColorFromFile(@"C:\Users\gypc\Pictures\dn\小图\小地图.bmp", "62b040", 0.70, "70.bmp");
//349E57
String rgb = "";
rgb = "62b040";
rgb = "3CC43C";
//rgb = "228545";
List <String> rgbs = new List <String>();
List <double> sims = new List <double>();
//PicUtils.FindColorFromFile(@"C:\Users\gypc\Pictures\dn\小图\小地图.bmp", rgb, 0.90, "90.bmp");
//PicUtils.FindColorFromFile(@"C:\Users\gypc\Pictures\dn\小图\小地图.bmp", rgb, 0.85, "85.bmp");
//PicUtils.FindColorFromFile(@"C:\Users\gypc\Pictures\dn\小图\小地图.bmp", rgb, 0.80, "80.bmp");
rgbs.Add("00FF00");
sims.Add(0.9);
sims.Add(0.88);
sims.Add(0.85);
sims.Add(0.82);
sims.Add(0.80);
for (int i = 0; i < rgbs.Count; i++)
{
for (int j = 0; j < sims.Count; j++)
{
PicUtils.FindColorByHueFromFile(@"C:\Users\gypc\Pictures\dn\小图\小地图.bmp", rgbs[i], sims[j], "Hue_" + rgbs[i] + sims[j].ToString() + ".bmp");
PicUtils.FindColorFromFile(@"C:\Users\gypc\Pictures\dn\小图\小地图.bmp", rgbs[i], sims[j], "RGB_" + rgbs[i] + sims[j].ToString() + ".bmp");
}
}
}
public void getMousePoint()
{
while (isRunning)
{
int offsetx = 0, offsety = 0;
try
{
String[] s = textBox_offset.Text.Split(' ');
offsetx = int.Parse(s[0]);
offsety = int.Parse(s[1]);
}
catch (System.Exception ex)
{
}
Point screenPoint = Control.MousePosition;
String str = screenPoint.X + " " + screenPoint.Y;
int x1 = screenPoint.X;
int y1 = screenPoint.Y;
textBox_point.Text = str;
textBox_expect_point.Text = (x1 - offsetx) + " " + (y1 - offsety);
x1 -= 8;
y1 -= 8;
x1 = x1 <= 0 ? 0 : x1;
y1 = y1 <= 0 ? 0 : y1;
Bitmap bmp = PicUtils.captureScreen(x1, y1, 17, 17);
int scale = 8;
Bitmap bmp2 = new Bitmap(bmp.Width * scale, bmp.Height * scale);
for (int i = 0; i < bmp.Width; i++)
{
for (int j = 0; j < bmp.Height; j++)
{
for (int k = 0; k < scale; k++)
{
for (int l = 0; l < scale; l++)
{
bmp2.SetPixel(i * scale + k, j * scale + l, bmp.GetPixel(i, j));
}
}
if (i == bmp.Width / 2 && j == bmp.Height / 2)
{
for (int k = 0; k < scale; k++)
{
for (int l = 0; l < scale; l++)
{
if (k == 0 || k == scale - 1 || l == 0 || l == scale - 1)
{
bmp2.SetPixel(i * scale + k, j * scale + l, Color.Red);
}
else
{
bmp2.SetPixel(i * scale + k, j * scale + l, bmp.GetPixel(i, j));
}
}
}
}
}
}
Color c = bmp.GetPixel(bmp.Width / 2, bmp.Height / 2);
textBox_color.Text = c.Name.Substring(2, 6).ToUpper();
pictureBox1.Image = bmp2;
Thread.Sleep(100);
}
}
private void 生成训练样本ToolStripMenuItem_Click(object sender, EventArgs e)
{
//1.首先要实现批量读取图片F:\毕业设计2018届刘锋\myCharSamples\train
//获取文件夹下的所有图片路径名："F:\\毕业设计2018届刘锋\\OOP.PictureAnalyse\\testImages\\0000.jpg"
string[] files = Directory.GetFiles(@"F:\毕业设计2018届刘锋\OOP.PictureAnalyse\myCharSamples\A16-浪潮-验证码样本数据\验证码样本数据\data-3\train",
"*.jpg", SearchOption.AllDirectories);
//所有的待测图像
for (int i = 0; i < files.Length; i++)
{
try
{
Bitmap bmpTogether = (Bitmap)Image.FromFile(files[i]);
//灰度化
bmpTogether = MyUtils.ToGray(bmpTogether);
//二值化
bmpTogether = PicUtils.Sauvola(bmpTogether);
//图像去躁
bmpTogether = bmpTogether.Clone(new Rectangle(0, 0, bmpTogether.Width, bmpTogether.Height), PixelFormat.Format24bppRgb);
bmpTogether = MyUtils.MyGussianBlur(bmpTogether);
MyUtils.ClearNoise(bmpTogether, MyUtils.GetDgGrayValue(bmpTogether), 4);//按照需要进行设置
Byte[,] BinaryArray = PicUtils.ToBinaryArray(bmpTogether);
ImgBoundary Boundary = SegmentFunction.getImgBoundary(BinaryArray);
//jpg格式转换为bmp，方式SetPixel方法报错
bmpTogether = bmpTogether.Clone(new Rectangle(Boundary.widthMin, Boundary.heightMin,
Boundary.widthMax - Boundary.widthMin, Boundary.heightMax - Boundary.heightMin), PixelFormat.Format24bppRgb);
//图像分割，应该返回4个子图像
List <Bitmap> littleBmpArray = PicUtils.SimpleCutTo4(bmpTogether);//CutImg(cutbmp);
//保存路径
DirectoryInfo TheFolder = new DirectoryInfo(@"F:\毕业设计2018届刘锋\OOP.PictureAnalyse\myCharSamples\A16-浪潮-验证码样本数据\验证码样本数据\data-3\sample");
int nameIndex = files[i].LastIndexOf(@"\"); //取出最后一个"\"的索引
string fileName = files[i].Substring(nameIndex + 1, 4); //取出图像的名称
char[] arrayName = fileName.ToArray(); //转换为字符数组
//再对子图像去除多余的空白部分
//一张图像里的所有字符
for (int lba = 0; lba < littleBmpArray.Count; lba++)
{
//1.去除多余部分，不过好像childbmp本来就没有多余的空白部分
//littleBmpArray[lba]=SingleWordCutImg(littleBmpArray[lba]);
//2.保存图像
if (littleBmpArray[lba] == null)
{
continue;
}
bool isExist = false;//标记是否已存在该名称的文件夹
//先遍历图像名称，因为文件夹名称刚开始是没有的
//-如果已存在DirectoryInfo[] GetDirectories()
if (TheFolder.GetDirectories() != null)
{
string pathName = "";//最终保存图像的完整路径名
foreach (DirectoryInfo nextdirectory in TheFolder.GetDirectories())
{
if (nextdirectory.Name == arrayName[lba].ToString())
{
isExist = true;
string pre = nextdirectory.FullName + @"\"; //前缀
string mid = arrayName[lba].ToString(); //中间动态名称
mid += "_";
mid += DateTime.Now.ToString("mm-ss-fffffff", DateTimeFormatInfo.InvariantInfo);
string suf = ".bmp"; //后缀
pathName = pre + mid + suf; //"F:\\毕业设计2018届刘锋\\OOP.PictureAnalyse\\myCharSamples\\train\\00-01773.bmp"
//存到已存在的文件夹中 第一个参数："F:\\毕业设计2018届刘锋\\asdad.bmp"
littleBmpArray[lba].Save(pathName, System.Drawing.Imaging.ImageFormat.Bmp);
break;//跳出foreach
}
}
//如果不存在对应的文件夹
if (!isExist)
{
string newDir = TheFolder.FullName + @"\" + arrayName[lba].ToString();
if (!Directory.Exists(newDir))
{
Directory.CreateDirectory(newDir);
string pre = newDir + @"\"; //前缀
string mid = arrayName[lba].ToString(); //中间动态名称
mid += "_";
mid += DateTime.Now.ToString("mm-ss-fffffff", DateTimeFormatInfo.InvariantInfo);
string suf = ".bmp";//后缀
pathName = pre + mid + suf;
littleBmpArray[lba].Save(pathName, System.Drawing.Imaging.ImageFormat.Bmp);
continue;
}
}
}
}
}
catch (Exception ex)
{
//遇到异常就跳过，处理下一张图片
continue;
}
}
}
private void 二值化ToolStripMenuItem_Click(object sender, EventArgs e)
{
Bitmap twobmp = (Bitmap)pictureBox1.Image;
pictureBox1.Image = PicUtils.Sauvola(twobmp);
}
/// <summary>
/// author:liusimawen
/// date:2018-04-19
/// 识别--批量识别
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void 批量识别ToolStripMenuItem_Click(object sender, EventArgs e)
{
DialogResult dr = MessageBox.Show("是否继续识别", "确认框", MessageBoxButtons.OKCancel);
if (dr == DialogResult.OK)
{
DateTime dtStart = DateTime.Now;
//先清空记事本中的记录
using (System.IO.StreamWriter file = new System.IO.StreamWriter
(@"F:\毕业设计2018届刘锋\OOP.PictureAnalyse\myCharSamples\A16-浪潮-验证码样本数据\验证码样本数据\data-3\testresult1.txt", false))//true表示追加在末尾，false为覆盖
{
//file.Write(line);//直接追加文件末尾，不换行
file.Write("");// 直接追加文件末尾，换行
}
//1.首先要实现批量读取图片F:\毕业设计2018届刘锋\myCharSamples\train
//获取文件夹下的所有图片路径名："F:\\毕业设计2018届刘锋\\OOP.PictureAnalyse\\testImages\\0000.jpg"
string[] files = Directory.GetFiles(@"F:\毕业设计2018届刘锋\OOP.PictureAnalyse\myCharSamples\A16-浪潮-验证码样本数据\验证码样本数据\data-3\test500", "*.jpg", SearchOption.AllDirectories);
//所有的待测图像
for (int i = 0; i < files.Length; i++)
{
try
{
Bitmap bmpTest = (Bitmap)Image.FromFile(files[i]);
//灰度化
bmpTest = MyUtils.ToGray(bmpTest);
//二值化
bmpTest = PicUtils.Sauvola(bmpTest);
//图像去躁
bmpTest = bmpTest.Clone(new Rectangle(0, 0, bmpTest.Width, bmpTest.Height), PixelFormat.Format24bppRgb);
bmpTest = MyUtils.MyGussianBlur(bmpTest);
MyUtils.ClearNoise(bmpTest, MyUtils.GetDgGrayValue(bmpTest), 4);//按照需要进行设置
Byte[,] BinaryArray = PicUtils.ToBinaryArray(bmpTest);
ImgBoundary Boundary = SegmentFunction.getImgBoundary(BinaryArray);
//jpg格式转换为bmp，方式SetPixel方法报错
bmpTest = bmpTest.Clone(new Rectangle(Boundary.widthMin, Boundary.heightMin,
Boundary.widthMax - Boundary.widthMin, Boundary.heightMax - Boundary.heightMin), PixelFormat.Format24bppRgb);
//图像分割，应该返回4个子图像
List <Bitmap> littleBmpArray = PicUtils.SimpleCutTo4(bmpTest);//CutImg(cutbmp);
//如果子图像不为4个，则跳过本图，继续下一张图片
if (littleBmpArray.Count != 4)
{
continue;
}
int nameIndex = files[i].LastIndexOf(@"\"); //取出最后一个"\"的索引
string fileName = files[i].Substring(nameIndex + 1, 4); //取出图像的名称
char[] arrayName = fileName.ToArray(); //转换为字符数组
//再对子图像去除多余的空白部分
//一张图像里的所有字符
StringBuilder resultSb = new StringBuilder();
for (int lba = 0; lba < littleBmpArray.Count; lba++)
{
if (littleBmpArray[lba] == null)
{
continue;
}
//旋转纠正
littleBmpArray[lba] = DegreeCorrect(littleBmpArray[lba]);
char resultChar = PicUtils.regANN(littleBmpArray[lba]);
resultSb.Append(resultChar);
}
//testresult.txt存储识别结果：正确字符 识别结果
using (System.IO.StreamWriter file = new System.IO.StreamWriter
(@"F:\毕业设计2018届刘锋\OOP.PictureAnalyse\myCharSamples\A16-浪潮-验证码样本数据\验证码样本数据\data-3\testresult1.txt", true))//true表示追加在末尾，false为覆盖
{
//file.Write(line);//直接追加文件末尾，不换行
file.WriteLine(fileName + " " + resultSb);// 直接追加文件末尾，换行
}
}
catch (Exception ex)
{
//遇到异常就跳过，处理下一张图片
continue;//对应最外面的for循环
}
}
DateTime dtEnd = DateTime.Now;
TimeSpan ts = dtEnd - dtStart;
MessageBox.Show("识别完成，已保存入testresult1.txt！用时" + ts.Minutes);
}
}
