AForge学习笔记（5）：AForge.Imaging（下）

来源：互联网发布：生死狙击刷金币软件编辑：程序博客网时间：2024/05/21 15:43

作者：GAO-XIANG

转自：http://blog.csdn.net/xiang__jiangsu/article/details/8138326

ImageStatistics：对图像的RGB进行统计，示例如下：

Bitmap bt = new Bitmap(@"C:\Users\GAOXIANG\Desktop\1.jpg");
// 统计
ImageStatistics stat = new ImageStatistics(bt);
// 获取R G B通道
AForge.Math.Histogram red = stat.Red;
AForge.Math.Histogram green = stat.Green;
AForge.Math.Histogram blue = stat.Blue;
pictureBox1.Image = bt;
//显示
histogram1.Values = red.Values; histogram1.Color = Color.Red;
histogram2.Values = green.Values; histogram2.Color = Color.Green;
histogram3.Values = blue.Values; histogram3.Color = Color.Blue;

运行结果：

IntegralImage：积分图，含义为：某点像素值（强度）等于此像素点之前的所有像素值总和，公式表示为：

         x    yI(x,y) = SUM( SUM( G(i,j) ) )         i=0  j=0

MoravecCornersDetector：莫拉维克角点探测，对图像角点进行探测，示例如下：

MoravecCornersDetector scd = new MoravecCornersDetector(9, 7);//第一参数：兴趣点阈值，兴趣点判别窗口
corners = scd.ProcessImage(bt);
BitmapData data = bt.LockBits(new Rectangle(new System.Drawing.Point(0, 0), bt.Size), ImageLockMode.ReadWrite, bt.PixelFormat);
for (int i = 0; i < corners.Count; i++)
{
Drawing.FillRectangle(data, new Rectangle(corners[i].X, corners[i].Y, 3, 3), Color.Red);//绘制兴趣点
}
bt.UnlockBits(data);//非托管图片解锁
pictureBox1.Image = bt;
Graphics gp = this.CreateGraphics();
for (int i = 0; i < corners.Count; i++)
{
gp.DrawRectangle(new Pen(Color.Red,1),new Rectangle(corners[i].X+pictureBox1.Width+20, corners[i].Y, 1, 1));//轮廓重绘
}

运行结果：

QuadrilateralFinder:搜索四边形或者三角形的角点，过程为：首先确定边界点，再搜寻角点，示例如下：

//图像背景处理
ColorFiltering colorFilter = new ColorFiltering();
colorFilter.Red = new IntRange(0, 64);
colorFilter.Green = new IntRange(0, 64);
colorFilter.Blue = new IntRange(0, 64);
colorFilter.FillOutsideRange = false;
colorFilter.ApplyInPlace(bt);
QuadrilateralFinder qf = new QuadrilateralFinder();//获取三角形、四边形角点
List<IntPoint> corners = qf.ProcessImage(bt);
BitmapData data = bt.LockBits(new Rectangle(0, 0, bt.Width, bt.Height),
ImageLockMode.ReadWrite, bt.PixelFormat);
Drawing.Polygon(data, corners, Color.Red);
for (int i = 0; i < corners.Count; i++)
{
Drawing.FillRectangle(data,
new Rectangle(corners[i].X - 2, corners[i].Y - 2, 10, 10),
Color.Red);
}
bt.UnlockBits(data);

运行结果：

RecursiveBlobCounter：递归对象计数器，通过使用递归算法，获取对象数量，示例如下：

bt = new Bitmap(@"C:\Users\GAOXIANG\Desktop\j.png");
// 创建对象搜索实例
AForge.Imaging.RecursiveBlobCounter bc = new AForge.Imaging.RecursiveBlobCounter();
// 处理图像
bc.ProcessImage(bt);
rects = bc.GetObjectsRectangles();
BitmapData data = bt.LockBits(new Rectangle(new Point(0,0),bt.Size),ImageLockMode.ReadWrite,bt.PixelFormat);
foreach (Rectangle rec in rects)
{
Drawing.Rectangle(data,rec,Color.Red);//为独立对象绘制包围盒
}
bt.UnlockBits(data);

运行结果：

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