コード例 #1
0
        public void Process()
        {
            if (Input == null)
            {
                return;
            }

            CreateOrUpdateOutputWithSameParametres(Input, _title, ImagePixelFormat.Float, ImageFormat.RealImaginative);
            if (Input != null && Output != null && Input.Ready && Output.Ready)
            {
                using (new Timer("Freshnel"))
                {
                    using (StartOperationScope(Input, Output))
                    {
                        try
                        {
                            Freshnel.Transform(Input, Output, Wavelength, Distance, ObjectSize, true);
                        }
                        catch (Exception ex)
                        {
                            DebugLogger.Log(ex, DebugLogger.ImportanceLevel.Exception);
                        }
                    }
                }
            }
        }
コード例 #2
0
        public void Compute()
        {
            if (Input == null)
            {
                return;
            }

            CreateOrUpdateOutputWithSameParametres(Input, _title);
            CreateOrUpdateImageWithSameParametres(Input, _title, ref _temp);
            CreateOrUpdateImageWithSameParametres(Input, _title, ref _inputFreshnelTransform);

            using (StartOperationScope(Input, Output, _temp, _inputFreshnelTransform))
            {
                int dx = 0, dy = 0;

                Freshnel.Transform(Input, _inputFreshnelTransform, Wavelength, Distance, ObjectSize, true);

                for (dx = 0; dx <= 2; dx++)
                {
                    for (dy = 0; dy <= 2; dy++)
                    {
                        if (dx == 0 && dy == 0)
                        {
                            continue;
                        }

                        ImageProcessing.Shift(Input, _temp, dx * (int)Shift, dy * (int)Shift, true);
                        Freshnel.Transform(_temp, _temp, Wavelength, Distance, ObjectSize, true);
                        ImageProcessing.Divide(_inputFreshnelTransform, _temp, _temp);
                        ImageProcessing.Sum(_temp, Output, Output);
                    }
                }

                ImageProcessing.Divide(Output, 8, Output);
            }
        }