Пример #1
0
        public Bitmap GetNewFrame(Bitmap source)
        {
            var newFrame = jitter.Apply(source);

            source.Dispose();
            return(newFrame);
        }
Пример #2
0
            public void Returns_A_Number_Within_Percentage_Below_And_Above_Number()
            {
                // act
                var result = Jitter.Apply(100d, new JitterSettings(percentage: 25));

                Assert.InRange(result, 75d, 125d);
            }
Пример #3
0
        public Bitmap ToJitter(Bitmap Im)
        {
            AForge.Imaging.Filters.Jitter Img = new Jitter();
            Bitmap bmImage = AForge.Imaging.Image.Clone(new Bitmap(Im), PixelFormat.Format24bppRgb);

            return(Img.Apply(bmImage));
        }
Пример #4
0
        /// <summary>
        /// Run background polling for remote config changes
        /// </summary>
        private void LoadRemoteConfigAfterInterval()
        {
            cancellationTokenSource = new CancellationTokenSource();
            var token = cancellationTokenSource.Token;

            Task.Factory.StartNew(async() =>
            {
                while (!token.IsCancellationRequested)
                {
                    // wait for an interval with jitter
                    var interval = Jitter.Apply(pollingIntervalInMillisecond);
                    log.DebugFormat("Loading configuration from {0} in {1}ms", configurationFileUrl, interval);
                    await Task.Delay(interval, token).ConfigureAwait(false);

                    await LoadRemoteConfig().ConfigureAwait(false);
                }
            },
                                  token,
                                  TaskCreationOptions.LongRunning,
                                  TaskScheduler.Default);
        }
Пример #5
0
 public void Throws_An_ArgumentNullException_If_Settings_Is_Null()
 {
     // act + assert
     Assert.Throws <ArgumentNullException>(() => Jitter.Apply(100d, null));
 }
Пример #6
0
        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);
        }
Пример #7
0
        /// <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);
        }
Пример #8
0
        public Bitmap JitterFilter(Bitmap img)
        {
            Jitter jitter = new Jitter();

            return(jitter.Apply(img));
        }