// Apply filter on the image
private static void ApplyFilter(IFilter filter, ref Bitmap image)
{
if (filter is IFilterInformation)
{
IFilterInformation filterInfo = (IFilterInformation)filter;
if (!filterInfo.FormatTransalations.ContainsKey(image.PixelFormat))
{
if (filterInfo.FormatTransalations.ContainsKey(PixelFormat.Format24bppRgb))
{
MessageBox.Show("The selected image processing routine may be applied to color image only.",
"Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
else
{
MessageBox.Show(
"The selected image processing routine may be applied to grayscale or binary image only.\n\nUse grayscale (and threshold filter if required) before.",
"Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
return;
}
}
try
{
// apply filter to the image
image = filter.Apply(image);
}
catch
{
MessageBox.Show("Error occured applying selected filter to the image", "Error", MessageBoxButtons.OK,
MessageBoxIcon.Error);
}
}
private void ApplyFilter(IFilter filter)
{
try
{
// set wait cursor
this.Cursor = Cursors.WaitCursor;
// apply filter to the image
Bitmap newImage = filter.Apply((Bitmap)this.Image.Image);
if (backup == null)
{
backup = this.Image.Image;
}
this.Image.Image = newImage;
}
catch (ArgumentException)
{
MessageBox.Show("Selected filter can not be applied to the image", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
finally
{
this.Cursor = Cursors.Default;
}
}
// Apply filter to the source image and show the filtered image
private void ApplyFilter(IFilter filter)
{
ClearCurrentImage( );
// apply filter
filteredImage = filter.Apply(sourceImage);
// display filtered image
pictureBox.Image = filteredImage;
}
// Process new frame
public void ProcessFrame(ref Bitmap image)
{
if (backgroundFrame == null)
{
// create initial backgroung image
backgroundFrame = grayscaleFilter.Apply(image);
// just return for the first time
return;
}
Bitmap tmpImage;
// apply the the grayscale file
tmpImage = grayscaleFilter.Apply(image);
if (++counter == 2)
{
counter = 0;
// move background towards current frame
moveTowardsFilter.OverlayImage = tmpImage;
Bitmap tmp = moveTowardsFilter.Apply(backgroundFrame);
// dispose old background
backgroundFrame.Dispose();
backgroundFrame = tmp;
}
// set backgroud frame as an overlay for difference filter
differenceFilter.OverlayImage = backgroundFrame;
// apply the the filters sequence
Bitmap tmpImage2 = processingFilter.Apply(tmpImage);
tmpImage.Dispose();
// extract red channel from the original image
Bitmap redChannel = extrachChannel.Apply(image);
// merge red channel with moving object borders
mergeFilter.OverlayImage = tmpImage2;
Bitmap tmpImage3 = mergeFilter.Apply(redChannel);
redChannel.Dispose();
tmpImage2.Dispose();
// replace red channel in the original image
replaceChannel.ChannelImage = tmpImage3;
Bitmap tmpImage4 = replaceChannel.Apply(image);
tmpImage3.Dispose();
image.Dispose();
image = tmpImage4;
}
public async Task <object> Render()
{
_filter.Apply();
var pagger = await GetPagger();
var query = GetSqlGrid(pagger);
var rows = await _connection.QueryAsync <TResult>(query, _optionsFilter);
var result = rows.Select(CreateRowResult).ToList();
return(new
{
Pager = pagger,
Rows = result
});
}
/// <summary>
/// Generate a binary BitmapImage
/// </summary>
/// <param name="bitmapImage"></param>
/// <param name="thresholdLevel"></param>
/// <returns></returns>
public static BitmapImage Binary(this BitmapImage bitmapImage, int thresholdLevel)
{
Bitmap bitmap = bitmapImage.BitmapImage2Bitmap();
Threshold threshold = new Threshold(thresholdLevel);
IFilter filter = Grayscale.CommonAlgorithms.BT709;
bitmap = filter.Apply(bitmap);
return(threshold.Apply(bitmap).ToBitmapImage());
}
// Apply filter
public Bitmap Apply(Bitmap srcImg)
{
Bitmap tmpImg = dilatation.Apply(srcImg);
Bitmap dstImg = errosion.Apply(tmpImg);
tmpImg.Dispose();
return(dstImg);
}
private void grayscale()
// Apply Grayscale filter
{
// Declare image
Bitmap bmp = new Bitmap(pictureBox1.Image);
IFilter filter = Grayscale.CommonAlgorithms.BT709;
bmp = filter.Apply(bmp);
pictureBox1.Image = bmp;
}
// Apply filter to the source image and show the filtered image
void ApplyFilter(IFilter filter)
{
#if !UNITY_WEBPLAYER
ClearCurrentImage();
// apply filter
filteredImage = filter.Apply(sourceImage);
// display filtered image
pictureBox.Image = filteredImage;
#endif
}
public static Image <Pixel8> ApplyFilter(this Image <Pixel8> image, IFilter filter)
{
Pixel8 pixelFilterOperator(Pixel8[] neighbourhood, Pixel8 currentPixel)
{
var value = filter.Apply(GetComponentFromNeighbourhood(neighbourhood, p => p.Value));
return(new Pixel8(value));
};
return(image.ApplyFilter(pixelFilterOperator, filter));
}
private void buttonMirror_Click(object sender, EventArgs e)
{
if (pictureBoxAffineIn.Image == null)
{
return;
}
pictureBoxAffineOut.SizeMode = PictureBoxSizeMode.StretchImage;
filter = new Mirror(false, true);
pictureBoxAffineOut.Image = filter.Apply(AForge.Imaging.Image.Clone((Bitmap)pictureBoxAffineIn.Image, PixelFormat.Format24bppRgb));
}
private void buttonScale_Click(object sender, EventArgs e)
{
if (pictureBoxAffineIn.Image == null)
{
return;
}
pictureBoxAffineOut.SizeMode = PictureBoxSizeMode.CenterImage;
filter = new ResizeBicubic(trackBarHalf.Value, trackBarWidth.Value);
pictureBoxAffineOut.Image = filter.Apply(AForge.Imaging.Image.Clone((Bitmap)pictureBoxAffineIn.Image, PixelFormat.Format24bppRgb));
}
public Bitmap Apply(BitmapData imageData)
{
Bitmap bitmap = baseFilter.Apply(imageData);
for (int i = 1; i < iterations; i++)
{
Bitmap bitmap2 = bitmap;
bitmap = baseFilter.Apply(bitmap2);
bitmap2.Dispose();
}
return(bitmap);
}
public T Apply(T input)
{
var val = Process(input);
if (_next != null)
{
val = _next.Apply(val);
}
return(val);
}
// 过滤器
private void ApplyFilter(IFilter filter)
{
//ClearCurrentImage();
// apply filter
Bitmap sourceimage = new Bitmap(System.Windows.Forms.Application.StartupPath + "\\test.jpg");
Bitmap filteredImage = filter.Apply(sourceimage);
//canvas.Source =BitmapToBitmapImage(filteredImage);
// display filtered image
//pictureBox.Image = filteredImage;
}
public IEnumerable <Tag> Apply(IEnumerable <Tag> tags)
{
foreach (var tag in tags)
{
if (filter.Apply(new[] { tag }).Count() == 0)
{
yield return(tag);
}
}
}
public static IBitmap ApplyFilter(IBitmap iBitmap, FilterImplementations filterImplementation)
{
IFilter filter = GetFilter(filterImplementation);
if (filter != null && iBitmap != null)
{
return(filter.Apply(iBitmap));
}
return(iBitmap);
}
// Apply filter using mask
public Bitmap Apply(Bitmap srcImg)
{
if (baseFilter == null)
{
throw new NullReferenceException("Base filter is not set");
}
// initial iteration
Bitmap dstImg = baseFilter.Apply(srcImg);
Bitmap tmpImg;
// continue iterate
for (int i = 1; i < iterations; i++)
{
tmpImg = dstImg;
dstImg = baseFilter.Apply(tmpImg);
tmpImg.Dispose();
}
return(dstImg);
}
public async Task MakeAllFollowingsFollowersFollowRequestAsync(int top = 1000, IFilter <UserInfo> filter = null)
{
List <UserInfo> currentUserFollowingList = await instaService.GetCurrentUserFollowings();
List <UserInfo> requestList = new List <UserInfo>();
RandomGenerator random = new RandomGenerator(currentUserFollowingList.Count);
for (int i = 0; i < currentUserFollowingList.Count; i++)
{
int index = random.Different();
var following = currentUserFollowingList[index];
logger.Write($"Random UserName : {following.UserName}, Index Order {i}");
List <UserInfo> userInfoList = await instaService.GetUserFollowers(following.UserName, 10);
filter = filter ?? FollowerFilter.DefaultFilter();
var filtered = filter.Apply(userInfoList);
filtered.RemoveAll(u => currentUserFollowingList.Exists(c => c.Id == u.Id));
if (filtered != null && filtered.Count > 0)
{
requestList.AddRange(filtered);
}
if (requestList.Count >= top)
{
requestList = requestList.Take(top).ToList();
break;
}
}
int requestIndex = 0;
try
{
for (requestIndex = 0; requestIndex < requestList.Count; requestIndex++)
{
logger.Write($"Requested UserName : {requestList[requestIndex].UserName}, Remaining User {requestList.Count - requestIndex - 1}");
await Retry.DoAsync(() => instaService.FollowUserAsync(requestList[requestIndex].Id), TimeSpan.FromSeconds(3));
}
}
catch (Exception ex)
{
logger.Write(ex.ToString());
}
finally
{
if (requestIndex > 0)
{
FileUtils.WriteAllToRequestedFile(requestList.Take(requestIndex).ToList());
}
}
}
private Bitmap ProcessCurrentFrame()
{
Bitmap bmp;
//curr_gs = pixelFilter.Apply(curr_gs);
if (first)
{
back = (Bitmap)curr_gs.Clone();
first = false;
}
/* Detection */
diffFilter.OverlayImage = back;
bmp = diffFilter.Apply(curr_gs);
bmp = thresholdFilter.Apply(bmp);
bmp = blobFilter.Apply(bmp);
//bmp = erosionFilter.Apply(bmp);
//bmp = openFilter.Apply(bmp);
//bmp = edgeFilter.Apply(bmp);
try
{
//blobCount.Text = blobGrabber.Apply(bmp).Size.ToString();
}
catch (Exception)
{
}
/* Transcribe to original image */
// extract red channel from the original image
//IFilter extrachChannel = new ExtractChannel(RGB.R);
//Bitmap redChannel = extrachChannel.Apply(curr_c);
// merge red channel with motion regions
//Merge mergeFilter = new Merge();
//mergeFilter.OverlayImage = bmp;
//Bitmap tmp4 = mergeFilter.Apply(redChannel);
// replace red channel in the original image
//ReplaceChannel replaceChannel = new ReplaceChannel(RGB.R,tmp4);
//curr_c = replaceChannel.Apply(curr_c);
/* Background Update */
//towardsFilter.OverlayImage = curr_gs;
//back = towardsFilter.Apply(back);
morphFilter.OverlayImage = curr_gs;
back = morphFilter.Apply(back);
return(bmp);
}
private void ApplyFilter(IFilter filter)
{
pictureBox2.Image = null;
pictureBox2.SizeMode = PictureBoxSizeMode.StretchImage;
// apply filter
Bitmap filteredImage = filter.Apply(sourceImage);
// display filtered image
pictureBox2.Image = filteredImage;
pictureBox2.Image.Save(@"e:\BTWork\MachineL\machine_vision\Test\图片处理\12.jpg");
}
private void ActualizarFiltro()
{
ColorFiltering filtroColor = new ColorFiltering();
filtroColor.Red = red;
filtroColor.Green = green;
filtroColor.Blue = blue;
IFilter filtro = filtroColor;
Bitmap bmp = new Bitmap(peCaptcha.Image);
Bitmap xImage = filtro.Apply(bmp);
peCaptcha.Image = xImage;
}
private void ApplyFilter(IFilter filter)
{
Bitmap sourceImage = (Bitmap)ImagePanel.Image;
// apply filter
Bitmap filteredImage = null;
if (sourceImage != null)
{
filteredImage = filter.Apply(sourceImage);
// display filtered image
}
else { MessageBox.Show("No image was loaded.", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error); }
ImagePanel.Image = filteredImage;
}
private void ActualizarFiltro()
{
ColorFiltering FiltroColor = new ColorFiltering();
FiltroColor.Red = red;
FiltroColor.Green = green;
FiltroColor.Blue = blue;
IFilter Filtro = FiltroColor;
Bitmap bmp = new Bitmap(pictureCapchaE.Image);
Bitmap XImage = Filtro.Apply(bmp);
pictureCapchaE.Image = XImage;
}
public async Task <IEnumerable <WorkOrder> > GetWorkOrders(IFilter <WorkOrder> filter, bool includeHistorical)
{
IQueryable <WorkOrder> workOrders = _repairsContext.WorkOrders.RestrictContractor(_currentUserService)
.Include(wo => wo.AssignedToPrimary);
workOrders = filter.Apply(workOrders);
if (!includeHistorical)
{
workOrders = workOrders.Where(w => w.Id > 10000000);
}
return(await workOrders.ToListAsync());
}
public void applyfilter1(IFilter filter)
{
try
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
Bitmap newImage = filter.Apply(image);
pictureBox2.Image = newImage;
}
catch (ArgumentException)
{
MessageBox.Show("Selected filter can not be applied to the image", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}
public void Filter(IFilter <TDmn, TPermissions> filter)
{
filter.ValidateNotNullParameter(nameof(filter));
HttpStatusCode filterPermissions = filter.HasPermissions(this.permissions);
if (filterPermissions != HttpStatusCode.OK)
{
throw new RestfulException(filterPermissions);
}
this.isGetAll = false;
this.internalQuery = filter.Apply(this.internalQuery);
}
/// <summary>
/// Apply filter to an image.
/// </summary>
///
/// <param name="imageData">Source image to apply filter to.</param>
///
/// <returns>Returns filter's result obtained by applying the filter to
/// the source image.</returns>
///
/// <remarks>The filter accepts bitmap data as input and returns the result
/// of image processing filter as new image. The source image data are kept
/// unchanged.</remarks>
///
public Bitmap Apply(BitmapData imageData)
{
// initial iteration
Bitmap dstImg = baseFilter.Apply(imageData);
Bitmap tmpImg;
// continue to iterate
for (int i = 1; i < iterations; i++)
{
tmpImg = dstImg;
dstImg = baseFilter.Apply(tmpImg);
tmpImg.Dispose( );
}
return(dstImg);
}
private static Bitmap ApplyFilter(IFilter filter, Bitmap image)
{
IFilterInformation filterInformation = filter as IFilterInformation;
if (filterInformation != null && !filterInformation.FormatTranslations.ContainsKey(image.PixelFormat))
{
if (filterInformation.FormatTranslations.ContainsKey(PixelFormat.Format24bppRgb))
{
return(null);
}
return(null);
}
return(filter.Apply(image));
}
private void trackBar_Scroll(object sender, EventArgs e)
{
if (pictureBoxAffineIn.Image == null)
{
return;
}
pictureBoxAffineOut.SizeMode = PictureBoxSizeMode.StretchImage;
if (label2.Text == "Height")
{
return;
}
filter = new RotateBilinear(trackBarHalf.Value, true);
pictureBoxAffineOut.Image = filter.Apply(AForge.Imaging.Image.Clone((Bitmap)pictureBoxAffineIn.Image, PixelFormat.Format24bppRgb));
}
public static bool RotateTest32bpp(IFilter filter, Bitmap input, Bitmap output)
{
var itm = new ImageToMatrix();
// Test directly
Color[,] actual;
itm.Convert(filter.Apply(input), out actual);
Color[,] expected;
itm.Convert(output, out expected);
if (!actual.IsEqual(expected))
return false;
// Rotate and re-test
var rotate = new RotateNearestNeighbor(90, false);
input = rotate.Apply(input);
output = rotate.Apply(output);
itm.Convert(filter.Apply(input), out actual);
itm.Convert(output, out expected);
return actual.IsEqual(expected);
}
private void ApplyFilter(IFilter filter)
{
Bitmap sourceImage = (Bitmap)ImagePanel.Image;
// apply filter
Bitmap filteredImage = null;
if (sourceImage != null)
{
filteredImage = filter.Apply(sourceImage);
// display filtered image
}
else
{
MessageBox.Show("No image was loaded.", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
ImagePanel.Image = filteredImage;
}
private void apply()
{
if (dataGridView2.CurrentRow != null)
{
IFilter filter = (dataGridView2.CurrentRow.DataBoundItem as FilterDescriptor).Filter;
propertyGrid1.SelectedObject = filter;
if (filter == null)
{
dataGridView1.DataSource = sourceTable;
}
else
{
dataGridView1.DataSource = filter.Apply(dataGridView1.DataSource as DataTable);
}
}
}
private void ApplyFilter(IFilter filter)
{
this.Cursor = Cursors.WaitCursor;
Bitmap newImage = filter.Apply(image);
if (backup != null)
{
backup.Dispose();
}
backup = image;
image = newImage;
UpdateNewImage();
this.Cursor = Cursors.Default;
}
private void ApplyFilter(IFilter filter)
{
ClearCurrentImage();
Bitmap filteredImage = null;
try
{
filteredImage = filter.Apply(image.SourceImage);
}
catch (Exception exc) {
MessageBox.Show(exc.ToString());
return;
}
if (isFilterSet || isContrastBarSetValue || isBrightnesstBarSetValue)
{
pictureBox1.Image = image.SourceImage = filteredImage;
painter.setContext(image.Context);
isFilterSet = isContrastBarSetValue = isBrightnesstBarSetValue = false;
}
else
pictureBox1.Image = filteredImage;
}
private Bitmap ApplyFilter(IFilter filter)
{
filteredImage = filter.Apply(sourceImage);
return filteredImage;
}
public void ApplyFilter(IFilter filter)
{
filter.Apply(this._bitmap);
}
public static Bitmap Apply(this Bitmap bitmap, IFilter filter)
{
return filter.Apply(bitmap);
}
// Apply filter on the image
private void ApplyFilter(IFilter filter)
{
try
{
// set wait cursor
this.Cursor = Cursors.WaitCursor;
// apply filter to the image
Bitmap newImage = filter.Apply(image);
if (host.CreateNewDocumentOnChange)
{
// open new image in new document
host.NewDocument(newImage);
}
else
{
if (host.RememberOnChange)
{
// backup current image
if (backup != null)
backup.Dispose();
backup = image;
}
else
{
// release current image
image.Dispose();
}
image = newImage;
// update
UpdateNewImage();
}
}
catch (ArgumentException)
{
MessageBox.Show("Selected filter can not be applied to the image", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
finally
{
// restore cursor
this.Cursor = Cursors.Default;
}
}
public void ApplyFilter(IFilter filter)
{
try
{
this.Cursor = Cursors.WaitCursor;
SetUndo();
Bitmap newBitmap = filter.Apply(bitmap);
if (cropped)
newBitmap = filter.Apply(zoomBitmap);
if (toGrayscale)
{
Bitmap tempBitmap = ColorToGrayscale(newBitmap);
bitmap = (Bitmap)tempBitmap.Clone();
tempBitmap.Dispose();
toGrayscale = false;
}
else
{
bitmap = new Bitmap(newBitmap.Size.Width, newBitmap.Size.Height, PixelFormat.Format24bppRgb);
Graphics g = Graphics.FromImage(bitmap);
g.DrawImage(newBitmap, new Point(0, 0));
g.Dispose();
}
newBitmap.Dispose();
MenuItemUndo.Enabled = true;
toolStripButtonUndo.Enabled = true;
}
catch (Exception ex)
{
MessageBox.Show(ex.Message, "SPixel", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
finally
{
this.Cursor = Cursors.Default;
}
this.imageDisplay.Invalidate();
}
// Apply filter to the source image and show the filtered image
private void ApplyFilter( IFilter filter )
{
ClearCurrentImage( );
// apply filter
filteredImage = filter.Apply( sourceImage );
// display filtered image
pictureBox.Image = filteredImage;
}
// Apply filter on the image
private void ApplyFilter( IFilter filter )
{
if ( filter is IFilterInformation )
{
IFilterInformation filterInfo = (IFilterInformation) filter;
if ( !filterInfo.FormatTransalations.ContainsKey( image.PixelFormat ) )
{
if ( filterInfo.FormatTransalations.ContainsKey( PixelFormat.Format24bppRgb ) )
{
MessageBox.Show( "The selected image processing routine may be applied to color image only.", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error );
}
else
{
MessageBox.Show( "The selected image processing routine may be applied to grayscale or binary image only.\n\nUse grayscale (and threshold filter if required) before.", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error );
}
return;
}
}
try
{
// set wait cursor
this.Cursor = Cursors.WaitCursor;
// apply filter to the image
Bitmap newImage = filter.Apply( image );
if ( host.CreateNewDocumentOnChange )
{
// open new image in new document
host.NewDocument( newImage );
}
else
{
if ( host.RememberOnChange )
{
// backup current image
if ( backup != null )
backup.Dispose( );
backup = image;
}
else
{
// release current image
image.Dispose( );
}
image = newImage;
// update
UpdateNewImage( );
}
}
catch
{
MessageBox.Show( "Error occured applying selected filter to the image", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error );
}
finally
{
// restore cursor
this.Cursor = Cursors.Default;
}
}
public static HtmlDocument ApplyFilter(this HtmlDocument doc, IFilter filter)
{
filter.Apply(doc);
return doc;
}
