Example #1
0
        /// <summary>
        /// Processes the image.
        /// </summary>
        /// <param name="factory">The current instance of the <see cref="T:ImageProcessor.ImageFactory" /> class containing
        /// the image to process.</param>
        /// <returns>
        /// The processed image from the current instance of the <see cref="T:ImageProcessor.ImageFactory" /> class.
        /// </returns>
        public Image ProcessImage(ImageFactory factory)
        {
            Bitmap newImage = null;
            Bitmap image = (Bitmap)factory.Image;

            try
            {
                newImage = new Bitmap(image);
                GaussianLayer gaussianLayer = this.DynamicParameter;

                Convolution convolution = new Convolution(gaussianLayer.Sigma) { Threshold = gaussianLayer.Threshold };
                double[,] kernel = convolution.CreateGuassianBlurFilter(gaussianLayer.Size);
                newImage = convolution.ProcessKernel(newImage, kernel);

                image.Dispose();
                image = newImage;
            }
            catch (Exception ex)
            {
                if (newImage != null)
                {
                    newImage.Dispose();
                }

                throw new ImageProcessingException("Error processing image with " + this.GetType().Name, ex);
            }

            return image;
        }
        /// <summary>
        /// Processes the image.
        /// </summary>
        /// <param name="factory">The current instance of the <see cref="T:ImageProcessor.ImageFactory" /> class containing
        /// the image to process.</param>
        /// <returns>
        /// The processed image from the current instance of the <see cref="T:ImageProcessor.ImageFactory" /> class.
        /// </returns>
        public Image ProcessImage(ImageFactory factory)
        {
            Bitmap image = (Bitmap)factory.Image;

            try
            {
                GaussianLayer gaussianLayer = this.DynamicParameter;
                Convolution convolution = new Convolution(gaussianLayer.Sigma) { Threshold = gaussianLayer.Threshold };
                double[,] kernel = convolution.CreateGuassianBlurFilter(gaussianLayer.Size);

                return convolution.ProcessKernel(image, kernel, factory.FixGamma);
            }
            catch (Exception ex)
            {
                throw new ImageProcessingException("Error processing image with " + this.GetType().Name, ex);
            }
        }
Example #3
0
        /// <summary>
        /// Processes the image.
        /// </summary>
        /// <param name="factory">The the current instance of the <see cref="T:ImageProcessor.ImageFactory" /> class containing
        /// the image to process.</param>
        /// <returns>
        /// The processed image from the current instance of the <see cref="T:ImageProcessor.ImageFactory" /> class.
        /// </returns>
        public Image ProcessImage(ImageFactory factory)
        {
            Bitmap newImage = null;
            Bitmap image = (Bitmap)factory.Image;

            try
            {
                newImage = new Bitmap(image);
                GaussianLayer gaussianLayer = (GaussianLayer)this.DynamicParameter;

                Convolution convolution = new Convolution(gaussianLayer.Sigma) { Threshold = gaussianLayer.Threshold };
                double[,] kernel = convolution.CreateGuassianBlurFilter(gaussianLayer.Size);
                newImage = convolution.ProcessKernel(newImage, kernel);

                image.Dispose();
                image = newImage;
            }
            catch
            {
                if (newImage != null)
                {
                    newImage.Dispose();
                }
            }

            return image;
        }