C#实现图片切割、切图、裁剪-C#/.NET开发

这篇文章主要为大家详细介绍了C#实现图片切割、切图、裁剪，具有一定的参考价值，感兴趣的小伙伴们可以参考一下

本文实例为大家分享了C#实现图片切割、切图的具体代码，供大家参考，具体内容如下

前台准备两个Image控件。上面是显示原图，下面显示切割后的效果。


<StackPanel Orientation="Vertical">
 <Image Width="450" Height="383" Source="C:\Users\Administrator\Documents\Visual Studio 2015\Projects\SplitPic\SplitPic\Images\1.jpg"/>
 <Image x:Name="img" Stretch="None" Width="450" Height="383" />
</StackPanel>

对应的后台代码：


public partial class MainWindow : Window
{
 public MainWindow()
 {
 InitializeComponent();

 // 设置原图
 img.Source = new BitmapImage(new Uri(@"Images/1.jpg", UriKind.Relative));

 // 切割图片
 ImageSource imageSource = img.Source;
 Bitmap bitmap = SystemUtils.ImageSourceToBitmap(imageSource);
 BitmapSource bitmapSource = SystemUtils.BitmapToBitmapImage(bitmap);
 BitmapSource newBitmapSource = SystemUtils.CutImage(bitmapSource, new Int32Rect(125, 60, 235, 285));

 // 使用切割后的图源
 img.Source = newBitmapSource;
 }

}


// 图像工具类
public static class SystemUtils
{
 /// <summary>
 /// 切图
 /// </summary>
 /// <param name="bitmapSource">图源</param>
 /// <param name="cut">切割区域</param>
 /// <returns></returns>
 public static BitmapSource CutImage(BitmapSource bitmapSource, Int32Rect cut)
 {
 //计算Stride
 var stride = bitmapSource.Format.BitsPerPixel * cut.Width / 8;
 //声明字节数组
 byte[] data = new byte[cut.Height * stride];
 //调用CopyPixels
 bitmapSource.CopyPixels(cut, data, stride, 0);

 return BitmapSource.Create(cut.Width, cut.Height, 0, 0, PixelFormats.Bgr32, null, data, stride);
 }

 // ImageSource --> Bitmap
 public static System.Drawing.Bitmap ImageSourceToBitmap(ImageSource imageSource)
 {
 BitmapSource m = (BitmapSource)imageSource;

 System.Drawing.Bitmap bmp = new System.Drawing.Bitmap(m.PixelWidth, m.PixelHeight, System.Drawing.Imaging.PixelFormat.Format32bppPArgb);

 System.Drawing.Imaging.BitmapData data = bmp.LockBits(
 new System.Drawing.Rectangle(System.Drawing.Point.Empty, bmp.Size), System.Drawing.Imaging.ImageLockMode.WriteOnly, System.Drawing.Imaging.PixelFormat.Format32bppPArgb);

 m.CopyPixels(Int32Rect.Empty, data.Scan0, data.Height * data.Stride, data.Stride); bmp.UnlockBits(data);

 return bmp;
 }

 // Bitmap --> BitmapImage
 public static BitmapImage BitmapToBitmapImage(Bitmap bitmap)
 {
 using (MemoryStream stream = new MemoryStream())
 {
  bitmap.Save(stream, ImageFormat.Bmp);

  stream.Position = 0;
  BitmapImage result = new BitmapImage();
  result.BeginInit();
  // According to MSDN, "The default OnDemand cache option retains access to the stream until the image is needed."
  // Force the bitmap to load right now so we can dispose the stream.
  result.CacheOption = BitmapCacheOption.OnLoad;
  result.StreamSource = stream;
  result.EndInit();
  result.Freeze();

  return result;
 }
 }
}

运行后的效果如下：