学习图像处理知识---Emgu3.4 image类学习（六）

阀值处理-----一般应用在二值化上

其他颜色也是可以应用。

以下会生产新的图像。

public Image<TColor, TDepth> ThresholdAdaptive(
	TColor maxValue,
	AdaptiveThresholdType adaptiveType,
	ThresholdType thresholdType,
	int blockSize,
	TColor param1
)

public Image<TColor, TDepth> ThresholdBinary(
	TColor threshold,  
	TColor maxValue
)

public Image<TColor, TDepth> ThresholdBinaryInv(
	TColor threshold,
	TColor maxValue
)

public Image<TColor, TDepth> ThresholdToZero(  //低于值全为0
	TColor threshold
)

public Image<TColor, TDepth> ThresholdToZeroInv( TColor threshold)

//高于值全为255

public Image<TColor, TDepth> ThresholdTrunc(
	TColor threshold      //大于阀值，变成阀值
)

以下是对本图片进行处理：请注意！跟上面是一样模式。

public void _ThresholdBinary(
	TColor threshold,
	TColor maxValue
)

public void _ThresholdBinaryInv(
	TColor threshold,
	TColor maxValue
)

public void _ThresholdToZero(
	TColor threshold
)

public void _ThresholdToZeroInv(
	TColor threshold
)

public void _ThresholdTrunc(
	TColor threshold
)

实例练习学习

 Emgu.CV.Image<Gray,byte> GAY1 = new Image<Gray, byte>((Bitmap)pictureBox2.Image);
            pictureBox5.Image = GAY1.ThresholdBinary(new Gray((int)numericUpDown1.Value), new Gray(250)).Bitmap;
            pictureBox4.Image = GAY1.ToBitmap(); //灰度图片

 反变二值化

Emgu.CV.Image<Gray,byte> GAY1 = new Image<Gray, byte>((Bitmap)pictureBox2.Image);

            pictureBox5.Image = GAY1.ThresholdBinaryInv(new Gray((int)numericUpDown1.Value), new Gray(250)).Bitmap;
            pictureBox4.Image = GAY1.ToBitmap();

             pictureBox4.Image = GAY1.ToBitmap();
            pictureBox5.Image = GAY1.ThresholdToZero(new Gray((int)numericUpDown1.Value)).Bitmap;

          pictureBox4.Image = GAY1.ToBitmap();

            pictureBox5.Image = GAY1.ThresholdToZeroInv(new Gray((int)numericUpDown1.Value)).Bitmap;

           pictureBox4.Image = GAY1.ToBitmap();

            pictureBox5.Image = GAY1.ThresholdTrunc(new Gray((int)numericUpDown1.Value)).Bitmap;

自适应阀值

 pictureBox2.Image=YUAN.Convert<Gray,Byte>().ThresholdAdaptive(newGray(250), Emgu.CV.CvEnum.AdaptiveThresholdType.GaussianC,Emgu.CV.CvEnum.ThresholdType.Binary,3,new Gray(0)).ToBitmap();