C#实现卷积平滑（图像处理）

2025/12/23 5:47:48 来源：https://blog.csdn.net/weixin_44547599/article/details/139874341 浏览: 次关键词：C#实现卷积平滑（图像处理）

在C#中使用卷积滤波器来实现图像平滑处理，我们可以使用 System.Drawing
库来操作图像。下面是一个具体的示例，演示如何加载图像、应用卷积平滑滤波器，并保存处理后的图像。

1. 安装 System.Drawing.Common

首先，确保你已经安装了 System.Drawing.Common 库。你可以在项目的NuGet包管理器中搜索并安装这个库，或者使用以下命令：

dotnet add package System.Drawing.Common

2. 实现卷积滤波器

以下是一个具体的实现代码，应用一个简单的3x3均值滤波器来进行平滑处理。

using System;using System.Drawing;using System.Drawing.Imaging;
public class ConvolutionFilter
{public static Bitmap ApplyConvolutionFilter(Bitmap sourceImage, float[,] kernel){int width = sourceImage.Width;int height = sourceImage.Height;BitmapData srcData = sourceImage.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadOnly, PixelFormat.Format32bppArgb);Bitmap resultImage = new Bitmap(width, height);BitmapData resultData = resultImage.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.WriteOnly, PixelFormat.Format32bppArgb);int bytesPerPixel = 4;int stride = srcData.Stride;IntPtr srcScan0 = srcData.Scan0;IntPtr resultScan0 = resultData.Scan0;int kernelWidth = kernel.GetLength(1);int kernelHeight = kernel.GetLength(0);int kernelOffset = kernelWidth / 2;unsafe{byte* srcPtr = (byte*)srcScan0.ToPointer();byte* resultPtr = (byte*)resultScan0.ToPointer();for (int y = kernelOffset; y < height - kernelOffset; y++){for (int x = kernelOffset; x < width - kernelOffset; x++){float blue = 0.0f;float green = 0.0f;float red = 0.0f;for (int ky = -kernelOffset; ky <= kernelOffset; ky++){for (int kx = -kernelOffset; kx <= kernelOffset; kx++){int pixelPos = ((y + ky) * stride) + ((x + kx) * bytesPerPixel);blue += srcPtr[pixelPos] * kernel[ky + kernelOffset, kx + kernelOffset];green += srcPtr[pixelPos + 1] * kernel[ky + kernelOffset, kx + kernelOffset];red += srcPtr[pixelPos + 2] * kernel[ky + kernelOffset, kx + kernelOffset];}}int resultPos = (y * stride) + (x * bytesPerPixel);resultPtr[resultPos] = (byte)Math.Min(Math.Max(blue, 0), 255);resultPtr[resultPos + 1] = (byte)Math.Min(Math.Max(green, 0), 255);resultPtr[resultPos + 2] = (byte)Math.Min(Math.Max(red, 0), 255);resultPtr[resultPos + 3] = 255; // Alpha channel}}}sourceImage.UnlockBits(srcData);resultImage.UnlockBits(resultData);return resultImage;}
}

3. 使用卷积滤波器处理图像

using System;using System.Drawing;
class Program
{static void Main(){// 加载原始图像Bitmap sourceImage = new Bitmap("path_to_your_image.jpg");// 定义3x3均值滤波器float[,] kernel = {{ 1 / 9f, 1 / 9f, 1 / 9f },{ 1 / 9f, 1 / 9f, 1 / 9f },{ 1 / 9f, 1 / 9f, 1 / 9f }};// 应用卷积滤波器Bitmap resultImage = ConvolutionFilter.ApplyConvolutionFilter(sourceImage, kernel);// 保存处理后的图像resultImage.Save("path_to_save_filtered_image.jpg");}
}