最新java面试题详解项目实战(完整)

因为线图像startline有了起点和终点,我们就可以用DDA法求出线上所有点,任意斜率直线通过四象限八区域查表法界定。我们只示范一个区域:函数为: public PointF DdaFindPtImprove(ref byte[] buffer8, PointF Start, PointF End, int thresDelta, int Dir,Size wh,ref int Pos)//thresDelta门槛值,Pos线图像中穿越点index

 {         float x, y;
            float dx, dy, k;
            PointF backPoint = new PointF();

            dx = (float)(End.X - Start.X);
            dy = (float)(End.Y - Start.Y);
            k = dy / dx;
            if (Math.Abs(dx) < 0.001)
            {
                k = 65535;//随意给定一个最大值,还需论证。20150727,够用
            }
            x = Start.X;
            if (Start.Y < 0) Start.Y = 0;
            y = Start.Y;

            List<float> temparrclor = new List<float>(); // 线图像上每一个点灰度颜色   
            List<PointF> position = new List<PointF>();//线图像上每一个点坐标
            #region xiaoyu1
            if (Math.Abs(k) < 1)
            {
                if (x > End.X)
                {
                    for (; x >= End.X; x--)//x是整型,y是浮点型
                    {
                        float j = y;
                        int i = (int)(x);
                        float tempf = Math.Abs(j - (int)j);
                        PointF tempPt = new PointF(i, j);
                        float grey = 0;
                        if (k > -1 && k <= 0)
                        {
                            float avgGrey = (float)buffer8[(int)j * wh.Width + i];
                            float avgGrey1 = (float)buffer8[((int)j + 1) * wh.Width + i];
                            grey = avgGrey * (1 - tempf) + avgGrey1 * tempf;//灰度插值方法
                        }
                        else
                        {
                            float avgGrey = (float)buffer8[(int)j * wh.Width + i];
                            float avgGrey1 = (float)buffer8[((int)j - 1) * wh.Width + i];
                            grey = avgGrey * (1 - tempf) + avgGrey1 * tempf;
                        }
                        temparrclor.Add(grey);//插值灰度
                        position.Add(tempPt);

                        y = y - k;
                    }                                              
                    backPoint = FindCrosspointimprove(ref temparrclor, ref position, Dir, thresDelta,ref Pos);//找穿越点
                }
                else {.......}

          }

 #endregion xiaoyu1

........  return backPoint;}

  public PointF FindCrosspointimprove(ref List<float> lineTiDu, ref List<PointF> ijRecord, int Dir, int thresDelta,ref int POS)
        {//梯度和求穿越点,使用五个一组,与所讲略有差别
            List<float> deltatemp = new List<float>();
            List<float> fenzuaverage = new List<float>();
            for (int i = 0; i < lineTiDu.Count - 1; i++)
            {
                float grey1 = lineTiDu[i + 1];               
                float delta = (lineTiDu[i] - grey1);
                if (Math.Abs(delta) < 5)
                    delta = 0;
                deltatemp.Add(delta);
            }

            int fenzuC = deltatemp.Count / 5;
            for (int i = 0; i < fenzuC * 5; i = i + 5)
            {
                float sum5 = deltatemp[i] + deltatemp[i + 1] + deltatemp[i + 2] + deltatemp[i + 3] + deltatemp[i + 4];
                float aver = sum5 / 5;
                if (Math.Abs(aver) < 5)
                    aver = 0;
                fenzuaverage.Add(aver);
            }
            if (fenzuaverage.Count == 0) return new PointF();
            int crosspoint = 0;
            int crosspoint1 = 0;
            if (Dir == 0)
            {

                for (int iii = fenzuaverage.Count - 1; iii >= 0; iii--)//排除起点和终点
                {
                    if (fenzuaverage[iii] > 0)
                    {
                        crosspoint = 5 * (iii);
                        break;
                    }
                }
             float   maxVar = deltatemp[crosspoint];
                for (int m = -5; m < 5; m++)
                {
                    int tempint = crosspoint + m;
                    if (crosspoint == 0)
                        tempint = 0;
                    if (deltatemp[tempint] >= maxVar)//白到黑,加入方向判别
                    {
                        maxVar = deltatemp[tempint];
                        crosspoint1 = tempint;
                    }
                }
               
            }
            if (Dir == 1)
            {

                for (int iii =0 ; iii <= fenzuaverage.Count - 1; iii++)//排除起点和终点
                {
                    if (fenzuaverage[iii] < 0)
                    {
                        crosspoint = 5 * (iii);
                        break;
                    }
                }
               // minVar = deltatemp[crosspoint];
                float minVar = deltatemp[crosspoint];
                for (int m = -5; m < 5; m++)
                {
                    int tempint = crosspoint + m;
                    if (crosspoint == 0)
                        tempint = 0;
                    if (deltatemp[tempint] <= minVar)//白到黑,加入方向判别
                    {
                        minVar = deltatemp[tempint];
                        crosspoint1 = tempint;
                    }
                }

            }
            if (fenzuaverage[crosspoint / 5] * 5 >= thresDelta || fenzuaverage[crosspoint / 5] * 5 <= -thresDelta)
            {
                POS = crosspoint1;//穿越点的index在线图像序列中
                return ijRecord[crosspoint1];//穿越点的index对应坐标
            }//门槛判别
            else
            {
                return new PointF();//没有穿越点,返回(0,0)
            }
        }

一切准备就绪,在private void pictureBoxRoiImg_Paint(object sender, PaintEventArgs e)调用

 if (m_btempImage3 == true)//截取的ROI图像
                    {
                        PointF startxy = m_线图像.m_RoiBase.startLine.pt_start;
                        PointF endxy = m_线图像.m_RoiBase.startLine.pt_end;               
                   PointF     returnpoint = DdaFindPtImprove(ref tempImage3, startxy,
                                            endxy, 门槛值, glob_Dir, new Size(_RoiW, _RoiH), ref pos);
                        p = new Pen(Color.Red, 1);//画出穿越点叉叉
                        g.DrawLine(p, new PointF(returnpoint.X, returnpoint.Y - 3), new PointF(returnpoint.X, returnpoint.Y + 3));
                        g.DrawLine(p, new PointF(returnpoint.X - 3, returnpoint.Y), new PointF(returnpoint.X + 3, returnpoint.Y));              
                    }

到此,线图像设计完成。下一节讲一组线图像组成找线工具。(待续..............)以下是运行后线图像工具效果:

# See smb.conf.example for a more detailed config file or
# read the smb.conf manpage.
# Run 'testparm' to verify the config is correct after
# you modified it.
 
[global]
    workgroup = SAMBA
    security = user
    passdb backend = tdbsam
    map to guest = Bad User
    printing = cups
    printcap name = cups
    load printers = yes
    cups options = raw
[homes]
    comment = Home Directories
    valid users = %S, %D%w%S
    browseable = No
    read only = No
    inherit acls = Yes
 
[printers]
    comment = All Printers
    path = /var/tmp
    printable = Yes
    create mask = 0600
    browseable = No
 
[print$]
    comment = Printer Drivers
    path = /var/lib/samba/drivers
    write list = @printadmin root
    force group = @printadmin
    create mask = 0664
    directory mask = 0775
[rpt]
   path = /rpt_data
   comment = temp Directories
   writable = yes
   browseable = yes
   guest ok = yes

   :s/well/good/          替换当前行第一个 well 为 good
  :s/well/good/g        替换当前行所有 well 为 good


  :n,$s/well/good/     替换第 n 行开始到最后一行中每一行的第一个 well 为 good
  :n,$s/well/good/g     替换第 n 行开始到最后一行中每一行所有 well 为 good
  n 为数字,若 n 为 .,表示从当前行开始到最后一行


  :%s/well/good/      (等同于 :g/well/s//good/) 替换每一行的第一个 well 为 good
  :%s/well/good/g    (等同于 :g/well/s//good/g) 替换每一行中所有 well 为 good
  特殊符号转义:可以使用 # 作为分隔符,此时中间出现的 / 不会作为分隔符
  :s#well/#good/#        替换当前行第一个 well/ 为 good/ 
  :%s#/usr/bin#/bin#g  可以把文件中所有路径/usr/bin换成/bin 

     * 可能遇到的问题:
         1. 黑窗口一闪而过:
             * 原因: 没有正确配置JAVA_HOME环境变量
             * 解决方案:正确配置JAVA_HOME环境变量

         2. 启动报错:
             1. 暴力:找到占用的端口号,并且找到对应的进程,杀死该进程
                 * netstat -ano
             2. 温柔:修改自身的端口号(不建议使用)
 

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转载自blog.csdn.net/weixin_44944853/article/details/89671418