private void 指数噪声ToolStripMenuItem_Click(object sender, EventArgs e)
{
checkPictureBox1();
if (!valid)
{
return;
}
Bitmap bit = new Bitmap(pictureBox1.Image);
PassValueForm form = new PassValueForm();
form.setTextBox2_unvisible();
form.Owner = this;
form.Description = "输入指数噪声参数（0.01~0.2之间最佳）";
DialogResult result = form.ShowDialog();
if (result == DialogResult.OK)
{
pictureBox2.Refresh();
double value1 = Convert.ToDouble(form.Value);
double value2 = Convert.ToDouble(form.Value1);
//noise generator
pictureBox2.Image = GraphicClass.noiseGenerator(bit, value1, value2, 3);
pictureBox3.Image = GraphicClass.drawHistogram(new Bitmap(pictureBox1.Image));
pictureBox4.Image = GraphicClass.drawHistogram(new Bitmap(pictureBox2.Image));
}
}
private void 逆谐波均值滤波器ToolStripMenuItem_Click(object sender, EventArgs e)
{
checkPictureBox1();
if (!valid)
{
return;
}
PassValueForm form = new PassValueForm();
form.setTextBox2_unvisible();
form.Owner = this;
form.Description = "输入逆谐波参数Q";
DialogResult result = form.ShowDialog();
if (result == DialogResult.OK)
{
int parameter = Convert.ToInt32(form.Value);
Bitmap bit = new Bitmap(pictureBox1.Image);
pictureBox2.Refresh();
pictureBox2.Image = GraphicClass.AvgFilter(bit, 3, parameter);
pictureBox3.Image = GraphicClass.drawHistogram(new Bitmap(pictureBox1.Image));
pictureBox4.Image = GraphicClass.drawHistogram(new Bitmap(pictureBox2.Image));
}
}
private void 中点滤波器ToolStripMenuItem_Click(object sender, EventArgs e)
{
checkPictureBox1();
if (!valid)
{
return;
}
Bitmap bit = new Bitmap(pictureBox1.Image);
pictureBox2.Image = GraphicClass.greatValueFiltering(bit, 2);
pictureBox3.Image = GraphicClass.drawHistogram(new Bitmap(pictureBox1.Image));
pictureBox4.Image = GraphicClass.drawHistogram(new Bitmap(pictureBox2.Image));
}
private void 直方图ToolStripMenuItem_Click(object sender, EventArgs e)
{
checkPictureBox1();
if (!valid)
{
return;
}
Bitmap bit = new Bitmap(pictureBox1.Image);
pictureBox3.Image = GraphicClass.drawHistogram(bit);
pictureBox1.Refresh();
pictureBox1.Image = GraphicClass.convertRGB2Gray(bit);
}
private void 几何均值滤波器ToolStripMenuItem_Click(object sender, EventArgs e)
{
checkPictureBox1();
if (!valid)
{
return;
}
Bitmap bit = new Bitmap(pictureBox1.Image);
pictureBox2.Refresh();
pictureBox2.Image = GraphicClass.AvgFilter(bit, 1);
pictureBox3.Image = GraphicClass.drawHistogram(new Bitmap(pictureBox1.Image));
pictureBox4.Image = GraphicClass.drawHistogram(new Bitmap(pictureBox2.Image));
}
private void 算术均值滤波器ToolStripMenuItem_Click(object sender, EventArgs e)
{
checkPictureBox1();
if (!valid)
{
return;
}
float temp = (float)(1.0 / 9.0);
float[] a = { temp, temp, temp, temp, temp, temp, temp, temp, temp };
Bitmap bit = new Bitmap(pictureBox1.Image);
pictureBox2.Refresh();
pictureBox2.Image = GraphicClass.AvgFilter(bit, 0);
pictureBox3.Image = GraphicClass.drawHistogram(new Bitmap(pictureBox1.Image));
pictureBox4.Image = GraphicClass.drawHistogram(new Bitmap(pictureBox2.Image));
}
private void 直方图均衡化ToolStripMenuItem_Click(object sender, EventArgs e)
{
checkPictureBox1();
if (!valid)
{
return;
}
Bitmap original = new Bitmap(pictureBox1.Image);
pictureBox3.Image = GraphicClass.drawHistogram(original);
Bitmap result = GraphicClass.histogramEqualization(original);
pictureBox1.Image = GraphicClass.convertRGB2Gray(original);
pictureBox2.Image = result;
pictureBox4.Image = GraphicClass.drawHistogram(result);
}