示例#1
0
        /// <summary>
        /// Recomputes image histogram and draws the result in the given raster image.
        /// </summary>
        /// <param name="input">Input image.</param>
        /// <param name="param">Textual parameter.</param>
        public static void ComputeHistogram(Bitmap input, ImageHistogramHsvMode mode, int hue = OptimalHue)
        {
            // 1. Histogram recomputation.
            double[] occ = new double[hue];

            int width  = input.Width;
            int height = input.Height;

            for (int y = 0; y < height; y++)
            {
                for (int x = 0; x < width; x++)
                {
                    Color  col = input.GetPixel(x, y);
                    double H, S, V;
                    Arith.ColorToHSV(col, out H, out S, out V);

                    int h = (int)Math.Round(H * (hue - 1) / 360.0);

                    if (mode == ImageHistogramHsvMode.Distribution)
                    {
                        occ[h]++;
                    }
                    else if (mode == ImageHistogramHsvMode.Vals)
                    {
                        occ[h] += V;
                    }
                    else if (mode == ImageHistogramHsvMode.Power)
                    {
                        occ[h] += V * S;
                    }
                    //histArray[mode == 0 ? col.R : (mode == 1 ? col.G : (mode == 2 ? col.B : Y))]++;
                }
            }

            double Sum = occ.Sum();

            histArray = new double[hue];
            for (int i = 0; i < hue; i++)
            {
                histArray[i] = occ[i] / Sum;
            }
        }
示例#2
0
        public static void ComputeHistogram(Bitmap input, string param)
        {
            param = param.Trim();

            bool ColorPalete = (param[0] == ColorPaleteCommnad); //ColorPalete
            bool Histogram   = (param[0] == HistogramCommnad);   //Histogram
            bool Values      = (param[0] == ValuesCommnad);      //Values
            bool Powers      = (param[0] == PowersCommnad);      //Powers

            bool total = ColorPalete || Histogram || Values || Powers;

            bool onlyOne = BoolMath.OnlyOne(ColorPalete, Histogram, Values, Powers);

            if (!total)
            {
                MessageBox.Show("Missing starting command");
                mode = ImageHistogramHsvMode.None;
                return;
            }
            if (!onlyOne)
            {
                MessageBox.Show("To many commands");
                mode = ImageHistogramHsvMode.None;
                return;
            }

            if (ColorPalete)
            {
                mode  = ImageHistogramHsvMode.Standart;
                param = param.Substring(param.IndexOf(ColorPaleteCommnad) + 1);
                Dictionary <string, string> rec = Util.ParseKeyValueList(param, ' ');


                int hue        = ImageHistogramHsvExist.OptimalHue;
                int saturation = ImageHistogramHsvExist.OptimalSaturation;

                Util.TryParse(rec, "Hue", ref hue);
                RangeMath.InRangeOrDefault(ref hue, ImageHistogramHsvExist.MinHue, ImageHistogramHsvExist.MaxHue, ImageHistogramHsvExist.OptimalHue);
                Util.TryParse(rec, "Sat", ref saturation);
                RangeMath.InRangeOrDefault(ref saturation, ImageHistogramHsvExist.MinSaturation, ImageHistogramHsvExist.MaxSaturation, ImageHistogramHsvExist.OptimalSaturation);

                if (rec.ContainsKey("Colors") && rec["Colors"] == "Dynamic")
                {
                    ImageHistogramHsvExist.DynamicColors = true;
                }
                else if (rec.ContainsKey("Colors") && rec["Colors"] == "Discrete")
                {
                    ImageHistogramHsvExist.DynamicColors = false;
                }
                else
                {
                    ImageHistogramHsvExist.DynamicColors = true;
                }
                ImageHistogramHsvExist.ComputeHistogram(input, hue, saturation + 1);
            }
            else if (Histogram || Powers || Values)
            {
                if (Histogram)
                {
                    mode  = ImageHistogramHsvMode.Distribution;
                    param = param.Substring(param.IndexOf(HistogramCommnad) + 1);
                }
                if (Values)
                {
                    mode  = ImageHistogramHsvMode.Vals;
                    param = param.Substring(param.IndexOf(ValuesCommnad) + 1);
                }
                if (Powers)
                {
                    mode  = ImageHistogramHsvMode.Power;
                    param = param.Substring(param.IndexOf(PowersCommnad) + 1);
                }

                Dictionary <string, string> rec = Util.ParseKeyValueList(param, ' ');

                int   hue  = ImageHistogramHsvOcc.OptimalHue;
                float zoom = ImageHistogramHsvOcc.OptimalZoom;
                Util.TryParse(rec, "Hue", ref hue);
                RangeMath.InRangeOrDefault(ref hue, ImageHistogramHsvOcc.MinHue, ImageHistogramHsvOcc.MaxHue, ImageHistogramHsvOcc.OptimalHue);
                if (!Util.TryParse(rec, "Zoom", ref zoom) && rec.ContainsKey("Zoom") && (rec["Zoom"] == "A" || rec["Zoom"] == "Auto"))
                {
                    ImageHistogramHsvOcc.AutoZoom = true;
                }
                else
                {
                    ImageHistogramHsvOcc.AutoZoom = false;
                }
                ImageHistogramHsvOcc.Zoom = zoom;
                ImageHistogramHsvOcc.ComputeHistogram(input, mode, hue + 1);
            }
        }