这是一个任务。
我在 C# 中创建了一个非常简单的图像处理程序，它允许用户对灰度图像执行某些操作。
我目前遇到的问题是我需要将多个方法传递给轨迹栏。这将允许跟踪栏更改任何调用方法的阈值。
我已经搜索了谷歌，但似乎对这个问题没有什么帮助。那么有人可以给我一些关于如何做到这一点的建议吗？
我目前拥有的代码是这样的。
using System;
using System.Collections.Generic;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Drawing.Imaging;
using System.IO;
using System.Text;
using System.Windows.Forms;
namespace DIP_START
{
public partial class Form1 : Form
{
public Bitmap original_image, proc_image;
public int[] bins = new int[256];
int max;
public Form1()
{
InitializeComponent();
original_image = null;
proc_image = null;
}
private void Form1_Load(object sender, EventArgs e)
{
}
public void Form1_Paint(object sender, PaintEventArgs e)
{
if (original_image != null)
{
Graphics g = e.Graphics;
Rectangle r = new Rectangle(10, 50, original_image.Width, original_image.Height);
g.DrawImage(original_image, r);
}
}
// OPEN IMAGE FILE
/******************************************************************************************/
private void openToolStripMenuItem_Click_1(object sender, EventArgs e)
{
// show the openFile dialog box
Graphics g = this.CreateGraphics();
if (openFileDialog1.ShowDialog() == DialogResult.OK)
{
original_image = new Bitmap(openFileDialog1.FileName);
}
Rectangle r = new Rectangle(10, 50, original_image.Width, original_image.Height);
g.DrawImage(original_image, r);
}
// EXIT APPLICATION
/************************************************************************************/
private void exitToolStripMenuItem_Click_1(object sender, EventArgs e)
{
Dispose();
Application.Exit();
}
/***********************************************************************************/
// EDGE DETECTION
/***********************************************************************************/
/***********************************************************************************/
// ROBERTS GRADIENT - WITH THRESHOLD
/***********************************************************************************/
private void withoutToolStripMenuItem_Click(object sender, System.EventArgs e)
{
Graphics g = this.CreateGraphics();
int width = original_image.Width - 1;
int height = original_image.Height - 1;
int threshold = thresholdBar1.Value;
thresholdBar1.Visible = true;
thresholdValueBox.Visible = true;
string thresholdBarVal = Convert.ToString(thresholdBar1.Value);
thresholdValueBox.Text = thresholdBarVal;
Rectangle r = new Rectangle(535, 50, original_image.Width, original_image.Height);
Rectangle r2 = new Rectangle(0, 0, original_image.Width, original_image.Height);
proc_image = original_image.Clone(r2, PixelFormat.Format8bppIndexed);
g.DrawImage(original_image, r2);
BitmapData bmDataOR = original_image.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
BitmapData bmDataPR = proc_image.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
int stride = bmDataOR.Stride;
// System.IntPtr Scan0 = bmData.Scan0;
unsafe
{
byte* o = (byte*)(void*)bmDataOR.Scan0;
byte* p = (byte*)(void*)bmDataPR.Scan0;
byte[] pix_val = new byte[4];
for (int y = 0; y < height; ++y)
{
for (int x = 0; x < width; ++x)
{
pix_val[0] = o[y * stride + x];
pix_val[1] = o[(y + 1) * stride + x + 1];
pix_val[2] = o[(y + 1) * stride + x];
pix_val[3] = o[y * stride + x + 1];
int new_pix_val = Math.Abs(pix_val[0] - pix_val[1]) + Math.Abs(pix_val[2] - pix_val[3]);
if (new_pix_val > threshold)
{
p[y * stride + x] = 255;
}
else
p[y * stride + x] = 0;
}
}
proc_image.UnlockBits(bmDataPR);
original_image.UnlockBits(bmDataOR);
g.DrawImage(proc_image, r);
//thresholdBar1.Visible = false;
}
}
/***********************************************************************************/
// NEIGHBOURHOOD AVERAGING WITHOUT THRESHOLD
/***********************************************************************************/
private void withoutThresholdToolStripMenuItem_Click(object sender, System.EventArgs e)
{
Graphics g = this.CreateGraphics();
int width = original_image.Width - 2;
int height = original_image.Height - 2;
int total_val = 0;
int avg = 0;
Rectangle r = new Rectangle(535, 50, original_image.Width, original_image.Height);
Rectangle r2 = new Rectangle(0, 0, original_image.Width, original_image.Height);
proc_image = original_image.Clone(r2, PixelFormat.Format8bppIndexed);
BitmapData bmDataOR = original_image.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
BitmapData bmDataPR = proc_image.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
int stride = bmDataOR.Stride;
unsafe
{
byte* o = (byte*)(void*)bmDataOR.Scan0;
byte* p = (byte*)(void*)bmDataPR.Scan0;
byte[] pix_val = new byte[9];
for (int y = 0; y < height; ++y)
{
for (int x = 0; x < width; ++x)
{
pix_val[0] = o[y * stride + x];
pix_val[1] = o[y * stride + x + 1];
pix_val[2] = o[y * stride + x + 2];
pix_val[3] = o[(y + 1) * stride + x];
pix_val[4] = o[(y + 1) * stride + x + 1];
pix_val[5] = o[(y + 1) * stride + x + 2];
pix_val[6] = o[(y + 2) * stride + x];
pix_val[7] = o[(y + 2) * stride + x + 1];
pix_val[8] = o[(y + 2) * stride + x + 2];
for (int i = 0; i < 9; ++i)
{
total_val = total_val + pix_val[i];
}
avg = total_val / 9;
p[y * stride + x] = (byte)avg;
total_val = 0;
}
}
proc_image.UnlockBits(bmDataPR);
original_image.UnlockBits(bmDataOR);
g.DrawImage(proc_image, r);
}
}
}
}
如您所见，轨迹条被硬编码到罗伯茨梯度中，我也需要邻域平均来采用轨迹条。
在 Visual Studio 中，在轨迹栏的事件标题下，我插入了 Roberts Gradient 的方法