private void FiltroSharpen(Bitmap bmp)
{
IFilter Filtro = new Sharpen();
Bitmap XImage = Filtro.Apply(bmp);
pictureCapchaE.Image = XImage;
}
private void FiltroSharpen(Bitmap bmp)
{
IFilter filtro = new Sharpen();
Bitmap xImage = filtro.Apply(bmp);
peCaptcha.Image = xImage;
}
public string decodeBitmap(Bitmap img)
{
/////////图像处理
//转为灰度图
Grayscale grayscaleFilter = new Grayscale(0.299, 0.587, 0.114);
Bitmap bitmapGrayscale = grayscaleFilter.Apply(img);
//二值化
Threshold thresholdFilter = new Threshold(128);
Bitmap bitmapThreshold = thresholdFilter.Apply(bitmapGrayscale);
////////中值滤波
Median mediafil = new Median();
Bitmap medianBit = mediafil.Apply(bitmapThreshold);
//锐化
Sharpen sharpPic = new Sharpen();
Bitmap sharpOut = sharpPic.Apply(medianBit);
//统计点数
HorizontalIntensityStatistics his = new HorizontalIntensityStatistics(sharpOut);
Histogram histogram = his.Gray;
int[] dato = histogram.Values;
/////分割图像
charCut(dato);
shunfengdecoder decode = new shunfengdecoder();
string backcode = decode.Decoder(sharpOut, div);
return(backcode);
}
public Bitmap Sharpen()
{
using (Bitmap bitmap = LoadBitmap())
{
return(SHARPEN_FILTER.Apply(bitmap));
}
}
public Bitmap GetNewFrame(Bitmap source)
{
var newFrame = sharpen.Apply(source);
source.Dispose();
return(newFrame);
}
public Bitmap ToSharpen(Bitmap Im)
{
AForge.Imaging.Filters.Sharpen Img = new Sharpen();
Bitmap bmImage = AForge.Imaging.Image.Clone(new Bitmap(Im), PixelFormat.Format24bppRgb);
return(Img.Apply(bmImage));
}
//sharpen the image
private static Bitmap Sharpen(Bitmap image)
{
// create filter
Sharpen filter = new Sharpen();
// apply the filter
return(filter.Apply(image));
}
public static Bitmap Sharpen(Bitmap Imagem)
{
Sharpen filter = new Sharpen();
Imagem = Imagem.Clone(new Rectangle(0, 0, Imagem.Width, Imagem.Height), System.Drawing.Imaging.PixelFormat.Format24bppRgb);
Imagem = filter.Apply(Imagem);
return(Imagem);
}
public static Bitmap Sharpen(this Bitmap source)
{
try
{
var sharpenFilter = new Sharpen()
{
Kernel = new int[, ] {
{ -1, -1, -1 }, { -1, 9, -1 }, { -1, -1, -1 }
},
Threshold = 1
};
return(sharpenFilter.Apply(source));
}
catch (Exception ex)
{
throw new Exception($"Could not sharpen the image. Message: {ex.Message}", ex);
}
}
public void sharpenClickHandler(object sender, EventArgs e)
{
if (image != null)
{
Bitmap img = new Bitmap(path);
Sharpen filter = new Sharpen();
img = filter.Apply(img);
//ImageEView
if (mov != null)
{
this.WorkItem.Workspaces[WorkspaceNames.TabWorkspace].Close(mov);
}
mov = this.WorkItem.SmartParts.AddNew <ImageEView>();
mov.panAndZoomPictureBox1.Image = img;
SmartPartInfo spi =
new SmartPartInfo("Sharpen", "MyOwnDescription");
this.WorkItem.Workspaces[WorkspaceNames.TabWorkspace].Show(mov, spi);
}
}
// ProgressDialog dlg = null;
private void Sharpen()
{
IFilter filter = new Sharpen();
Bitmap imgOri = this.ucEditImageCtrl.OriginalImage as Bitmap;
if (imgOri != null)
{
try
{
Image img = filter.Apply(imgOri);
this.ucEditImageCtrl.OriginalImage = m_CurImage = img;
}
catch (Exception ex)
{
// MyLog4Net.Container.Instance.Log.Error("Sharpen error: ", ex);
//XtraMessageBox.Show("锐化出错!", "错误", MessageBoxButtons.OK, MessageBoxIcon.Error);
this.ucEditImageCtrl.OriginalImage = imgOri;
}
}
}
private void SharpenSmooth(object sender, DoWorkEventArgs e)
{
Bitmap raw_image = null;
if (inRb.Checked)
{
raw_image = Accord.Imaging.Filters.Grayscale.CommonAlgorithms.BT709.Apply((Bitmap)input_PB.Image.Clone());
}
else if (outRb.Checked)
{
raw_image = (Bitmap)outputImageBox.Image.Clone();
}
if (sharpenRB.Checked)
{
var sharpen = new Sharpen();
sharpen.Threshold = (Byte)threshVal.Value;
UnmanagedImage r_img = UnmanagedImage.FromManagedImage(raw_image);
outputImageBox.Image.Dispose();
r_img = sharpen.Apply(r_img);
outputImageBox.Image = r_img.ToManagedImage();
}
else if (smoothingRB.Checked)
{
var Smoothing = new AdaptiveSmoothing();
Smoothing.Factor = (double)(threshVal.Value);
UnmanagedImage r_img = UnmanagedImage.FromManagedImage(raw_image);
outputImageBox.Image.Dispose();
r_img = Smoothing.Apply(r_img);
outputImageBox.Image = r_img.ToManagedImage();
}
else if (radioButton1.Checked)
{
var Invert = new Invert();
UnmanagedImage r_img = UnmanagedImage.FromManagedImage(raw_image);
outputImageBox.Image.Dispose();
r_img = Invert.Apply(r_img);
outputImageBox.Image = r_img.ToManagedImage();
}
}
public static Bitmap FilterImage(Bitmap img, int filter)
{
Bitmap sourceImage = img;
sourceImage = ImageUtil.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
IFilter myFilter;
Bitmap filteredImage = sourceImage;
if (filter == Filters.filters["Greyscale"])
{
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
filteredImage = sourceImage;
}
else if (filter == Filters.filters["Sepia"])
{
myFilter = new Sepia();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Invert"])
{
sourceImage = ImageUtil.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
myFilter = new Invert();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["RotateChannel"])
{
myFilter = new RotateChannels();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Threshold"])
{
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new Threshold();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["FloydFilter"])
{
FloydSteinbergColorDithering myReduction = new FloydSteinbergColorDithering();
filteredImage = myReduction.Apply(sourceImage);
}
else if (filter == Filters.filters["OrderedDithering"])
{
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new OrderedDithering();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Sharpen"])
{
myFilter = new Sharpen();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["DifferenceEdgeDetector"])
{
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new DifferenceEdgeDetector();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["HomogenityEdgeDetector"])
{
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new HomogenityEdgeDetector();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Sobel"])
{
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new SobelEdgeDetector();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Jitter"])
{
myFilter = new Jitter(); //Needs Expand
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["OilPainting"])
{
sourceImage = ImageUtil.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
myFilter = new OilPainting(); //Needs Expand
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["TextureFiltering"])
{
sourceImage = ImageUtil.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
myFilter = new Texturer(new TextileTexture(), 1.0, 0.8); //Needs Expand
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Median"])
{
sourceImage = ImageUtil.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
myFilter = new Median();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Mean"])
{
myFilter = new Mean();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Blur"])
{
myFilter = new GaussianBlur();
filteredImage = myFilter.Apply(sourceImage);
}
//Console.Write(filteredImage.PixelFormat.ToString());
//Console.Write(sourceImage.PixelFormat.ToString());
filteredImage = ImageUtil.convert(filteredImage, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
return(filteredImage);
}
/// <summary>
/// This is the method that actually does the work.
/// </summary>
/// <param name="DA">The DA object can be used to retrieve data from input parameters and
/// to store data in output parameters.</param>
protected override void SolveInstance(IGH_DataAccess DA)
{
Bitmap sourceImage = null;
DA.GetData(0, ref sourceImage);
string filter = "";
DA.GetData(1, ref filter);
sourceImage = ImageUtilities.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
IFilter myFilter;
Bitmap filteredImage = sourceImage;
//Grayscale.CommonAlgorithms.Y.Apply
switch (filter)
{
case "Greyscale":
Console.Write("Applying: " + filter);
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
filteredImage = sourceImage;
break;
case "Sepia":
Console.Write("Applying: " + filter);
myFilter = new Sepia();
filteredImage = myFilter.Apply(sourceImage);
break;
case "Invert":
Console.Write("Applying: " + filter);
sourceImage = ImageUtilities.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
myFilter = new Invert();
filteredImage = myFilter.Apply(sourceImage);
break;
case "RotateChannel":
Console.Write("Applying: " + filter);
myFilter = new RotateChannels();
filteredImage = myFilter.Apply(sourceImage);
break;
case "Threshold": //Need Extended Version
Console.Write("Applying: " + filter);
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new Threshold();
filteredImage = myFilter.Apply(sourceImage);
break;
case "FloydFilter":
Console.Write("Applying: " + filter);
//sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
//myFilter = new FloydSteinbergColorDithering();
FloydSteinbergColorDithering myReduction = new FloydSteinbergColorDithering();
filteredImage = myReduction.Apply(sourceImage);
//filteredImage = myFilter.Apply(sourceImage);
break;
case "OrderedDithering":
Console.Write("Applying: " + filter);
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new OrderedDithering();
filteredImage = myFilter.Apply(sourceImage);
break;
case "Sharpen":
Console.Write("Applying: " + filter);
myFilter = new Sharpen();
filteredImage = myFilter.Apply(sourceImage);
break;
case "DifferenceEdgeDetector":
Console.Write("Applying: " + filter);
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new DifferenceEdgeDetector();
filteredImage = myFilter.Apply(sourceImage);
break;
case "HomogenityEdgeDetector":
Console.Write("Applying: " + filter);
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new HomogenityEdgeDetector();
filteredImage = myFilter.Apply(sourceImage);
break;
case "Sobel":
Console.Write("Applying: " + filter);
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new SobelEdgeDetector();
filteredImage = myFilter.Apply(sourceImage);
break;
case "Jitter":
Console.Write("Applying: " + filter);
myFilter = new Jitter(); //Needs Expand
filteredImage = myFilter.Apply(sourceImage);
break;
case "OilPainting":
Console.Write("Applying: " + filter);
myFilter = new OilPainting(); //Needs Expand
filteredImage = myFilter.Apply(sourceImage);
break;
case "TextureFiltering":
Console.Write("Applying: " + filter);
sourceImage = ImageUtilities.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
myFilter = new Texturer(new TextileTexture(), 1.0, 0.8); //Needs Expand
filteredImage = myFilter.Apply(sourceImage);
break;
case "Median":
Console.Write("Applying: " + filter);
myFilter = new Median();
filteredImage = myFilter.Apply(sourceImage);
break;
case "Mean":
Console.Write("Applying: " + filter);
myFilter = new Mean();
filteredImage = myFilter.Apply(sourceImage);
break;
case "Blur": //Need Extended Version
Console.Write("Applying: " + filter);
myFilter = new GaussianBlur();
filteredImage = myFilter.Apply(sourceImage);
break;
default:
Console.Write("No Filter");
break;
}
Console.Write(filteredImage.PixelFormat.ToString());
Console.Write(sourceImage.PixelFormat.ToString());
filteredImage = ImageUtilities.convert(filteredImage, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
DA.SetData(0, filteredImage);
}
public static Bitmap Sharpen(Bitmap sourceImage)
{
var filter = new Sharpen();
return(filter.Apply(sourceImage));
}
public static Bitmap ApplySharpenFilter(Bitmap input)
{
Sharpen sharpenFilter = new Sharpen();
return(sharpenFilter.Apply(input));
}
