示例#1
0
        //image smoothing by entered size for average filter process
        private static Bitmap SmoothHelper(Bitmap img, int m, int n, SmoothInColorSpace cSpace)
        {
            Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
            double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);
            List <ArraysListInt> Result = new List <ArraysListInt>();

            double[,] filter;

            if (!Checks.BinaryInput(img))
            {
                List <ArraysListInt> ColorList = Helpers.GetPixels(img);

                if (m >= 1 && n >= 1)
                {
                    //create average filter by entered size
                    filter = ImageFilter.FspecialSize(m, n, "average");

                    //smooth in choosen color space
                    switch (cSpace)
                    {
                    case SmoothInColorSpace.RGB:
                        if (Depth == 8)
                        {
                            var bw = ImageFilter.Filter_double(ColorList[0].Color, filter).ArrayToUint8();
                            Result.Add(new ArraysListInt()
                            {
                                Color = bw
                            }); Result.Add(new ArraysListInt()
                            {
                                Color = bw
                            });
                            Result.Add(new ArraysListInt()
                            {
                                Color = bw
                            });
                        }
                        else
                        {
                            Result.Add(new ArraysListInt()
                            {
                                Color = ImageFilter.Filter_double(ColorList[0].Color, filter).ArrayToUint8()
                            });
                            Result.Add(new ArraysListInt()
                            {
                                Color = ImageFilter.Filter_double(ColorList[1].Color, filter).ArrayToUint8()
                            });
                            Result.Add(new ArraysListInt()
                            {
                                Color = ImageFilter.Filter_double(ColorList[2].Color, filter).ArrayToUint8()
                            });
                        }
                        break;

                    case SmoothInColorSpace.HSV:
                        var hsv      = RGBandHSV.RGB2HSV(img);
                        var hsv_temp = ImageFilter.Filter_double(hsv[2].Color, filter, PadType.replicate);

                        //Filter by V - Value (Brightness/яркость)
                        //artificially if V > 1; make him 1
                        Result = RGBandHSV.HSV2RGB(hsv[0].Color, hsv[1].Color, hsv_temp.ToBorderGreaterZero(1));
                        break;

                    case SmoothInColorSpace.Lab:
                        var lab      = RGBandLab.RGB2Lab(img);
                        var lab_temp = ImageFilter.Filter_double(lab[0].Color, filter, PadType.replicate);

                        //Filter by L - lightness
                        Result = RGBandLab.Lab2RGB(lab_temp.ToBorderGreaterZero(255), lab[1].Color, lab[2].Color);
                        break;

                    case SmoothInColorSpace.fakeCIE1976L:
                        var fakeCIE1976L      = RGBandLab.RGB2Lab1976(img);
                        var fakeCIE1976L_temp = ImageFilter.Filter_double(fakeCIE1976L[0].Color, filter, PadType.replicate);

                        //Filter by L - lightness
                        Result = RGBandLab.Lab1976toRGB(fakeCIE1976L_temp, fakeCIE1976L[1].Color, fakeCIE1976L[2].Color);
                        break;
                    }

                    image = Helpers.SetPixels(image, Result[0].Color, Result[1].Color, Result[2].Color);

                    if (Depth == 8)
                    {
                        image = PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
                    }
                }
                else
                {
                    Console.WriteLine("m and n parameters must be positive and greater or equal 1. Recommended 2 & 2 and higher. Method >Smooth<. Return black square.");
                }
            }
            else
            {
                Console.WriteLine("What did you expected to smooth binaty image? Return black square.");
            }

            return(image);
        }
示例#2
0
        ////Equalize histogram for image brocess
        private static Bitmap EqualizeHelper(Bitmap img, HisteqColorSpace cSpace)
        {
            Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
            List <ArraysListInt> Result = new List <ArraysListInt>();
            double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);

            if (!Checks.BinaryInput(img))
            {
                List <ArraysListInt> ColorList = Helpers.GetPixels(img);

                //obtain histogram in choosen color space
                switch (cSpace)
                {
                case HisteqColorSpace.RGB:
                    if (Depth == 8)
                    {
                        var bw = HisteqHelper(ColorList[0].Color);
                        Result.Add(new ArraysListInt()
                        {
                            Color = bw
                        }); Result.Add(new ArraysListInt()
                        {
                            Color = bw
                        });
                        Result.Add(new ArraysListInt()
                        {
                            Color = bw
                        });
                    }
                    else
                    {
                        Result.Add(new ArraysListInt()
                        {
                            Color = HisteqHelper(ColorList[0].Color)
                        });
                        Result.Add(new ArraysListInt()
                        {
                            Color = HisteqHelper(ColorList[1].Color)
                        });
                        Result.Add(new ArraysListInt()
                        {
                            Color = HisteqHelper(ColorList[2].Color)
                        });
                    }
                    break;

                case HisteqColorSpace.HSV:
                    var hsv      = RGBandHSV.RGB2HSV(img);
                    var hsv_temp = HisteqHelper((hsv[2].Color).ImageDoubleToUint8());

                    //Filter by V - Value (Brightness/яркость)
                    //artificially if V > 1; make him 1
                    Result = RGBandHSV.HSV2RGB(hsv[0].Color, hsv[1].Color, hsv_temp.ImageUint8ToDouble().ToBorderGreaterZero(1));
                    break;

                case HisteqColorSpace.Lab:
                    var lab      = RGBandLab.RGB2Lab(img);
                    var lab_temp = HisteqHelper((lab[0].Color).ArrayToUint8());

                    //Filter by L - lightness
                    Result = RGBandLab.Lab2RGB(lab_temp.ArrayToDouble().ToBorderGreaterZero(255), lab[1].Color, lab[2].Color);
                    break;

                case HisteqColorSpace.fakeCIE1976L:
                    var fakeCIE1976L      = RGBandLab.RGB2Lab1976(img);
                    var fakeCIE1976L_temp = HisteqHelper(fakeCIE1976L[0].Color.ArrayToUint8());

                    //Filter by L - lightness
                    Result = RGBandLab.Lab1976toRGB(fakeCIE1976L_temp.ArrayToDouble(), fakeCIE1976L[1].Color, fakeCIE1976L[2].Color);
                    break;
                }

                image = Helpers.SetPixels(image, Result[0].Color, Result[1].Color, Result[2].Color);

                if (Depth == 8)
                {
                    image = PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
                }
            }
            else
            {
                Console.WriteLine("What did you expected to HistogramEqualization binaty image? Return black square.");
            }

            return(image);
        }
示例#3
0
文件: Sharp.cs 项目: Grimhill/Image
        //Sharpen process in selected color space
        private static Bitmap SharpHelper(Bitmap img, UnSharpInColorSpace cSpace, SharpFilterType filterType)
        {
            Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
            List <ArraysListInt> Result = new List <ArraysListInt>();
            double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);

            double[,] Resultemp;

            if (!Checks.BinaryInput(img))
            {
                List <ArraysListInt> ColorList = Helpers.GetPixels(img);

                //sharp in choosen color space
                switch (cSpace)
                {
                case UnSharpInColorSpace.RGB:
                    if (Depth == 8)
                    {
                        var bw = UnSharpHelperInt(ColorList[0].Color, filterType.ToString());
                        Result.Add(new ArraysListInt()
                        {
                            Color = bw
                        }); Result.Add(new ArraysListInt()
                        {
                            Color = bw
                        });
                        Result.Add(new ArraysListInt()
                        {
                            Color = bw
                        });
                    }
                    else
                    {
                        Result.Add(new ArraysListInt()
                        {
                            Color = UnSharpHelperInt(ColorList[0].Color, filterType.ToString())
                        });                                                                                                          //R
                        Result.Add(new ArraysListInt()
                        {
                            Color = UnSharpHelperInt(ColorList[1].Color, filterType.ToString())
                        });                                                                                                          //G
                        Result.Add(new ArraysListInt()
                        {
                            Color = UnSharpHelperInt(ColorList[2].Color, filterType.ToString())
                        });                                                                                                          //B
                    }
                    break;

                case UnSharpInColorSpace.HSVi:
                    var hsvi      = RGBandHSV.RGB2HSV(img);
                    var hsvi_temp = UnSharpHelperInt(((hsvi[2].Color).ArrayMultByConst(100).ArrayToUint8()), filterType.ToString());

                    //Filter by V - Value (Brightness/яркость)
                    Resultemp = hsvi_temp.ArrayToDouble().ArrayDivByConst(100).ToBorderGreaterZero(1);
                    Result    = RGBandHSV.HSV2RGB(hsvi[0].Color, hsvi[1].Color, Resultemp);
                    break;

                case UnSharpInColorSpace.HSVd:
                    var hsvd      = RGBandHSV.RGB2HSV(img);
                    var hsvd_temp = UnSharpHelperDouble((hsvd[2].Color).ArrayMultByConst(100), filterType.ToString());

                    //Filter by V - Value (Brightness/яркость)
                    //artificially if V > 1, make him 1
                    Resultemp = hsvd_temp.ArrayDivByConst(100).ToBorderGreaterZero(1);
                    Result    = RGBandHSV.HSV2RGB(hsvd[0].Color, hsvd[1].Color, Resultemp);
                    break;

                case UnSharpInColorSpace.Labi:
                    var labi      = RGBandLab.RGB2Lab(img);
                    var labi_temp = UnSharpHelperInt((labi[0].Color).ArrayToUint8(), filterType.ToString());

                    //Filter by L - lightness
                    Result = RGBandLab.Lab2RGB(labi_temp.ArrayToDouble(), labi[1].Color, labi[2].Color);
                    break;

                case UnSharpInColorSpace.Labd:
                    var labd      = RGBandLab.RGB2Lab(img);
                    var labd_temp = UnSharpHelperDouble(labd[0].Color, filterType.ToString());

                    //Filter by L - lightness
                    Result = RGBandLab.Lab2RGB(labd_temp.ToBorderGreaterZero(255), labd[1].Color, labd[2].Color);
                    break;

                case UnSharpInColorSpace.fakeCIE1976Labi:
                    var fakeCIE1976abLi      = RGBandLab.RGB2Lab1976(img);
                    var fakeCIE1976Labi_temp = UnSharpHelperInt((fakeCIE1976abLi[0].Color).ArrayToUint8(), filterType.ToString());

                    //Filter by L - lightness
                    Result = RGBandLab.Lab1976toRGB(fakeCIE1976Labi_temp.ArrayToDouble(), fakeCIE1976abLi[1].Color, fakeCIE1976abLi[2].Color);
                    break;

                case UnSharpInColorSpace.fakeCIE1976Labd:
                    var fakeCIE1976Labd      = RGBandLab.RGB2Lab1976(img);
                    var fakeCIE1976Labd_temp = UnSharpHelperDouble((fakeCIE1976Labd[0].Color), filterType.ToString());

                    //Filter by L - lightness
                    Result = RGBandLab.Lab1976toRGB(fakeCIE1976Labd_temp.ToBorderGreaterZero(255), fakeCIE1976Labd[1].Color, fakeCIE1976Labd[2].Color);
                    break;
                }

                image = Helpers.SetPixels(image, Result[0].Color, Result[1].Color, Result[2].Color);

                if (Depth == 8)
                {
                    image = PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
                }
            }
            else
            {
                Console.WriteLine("What did you expected to sharp binary image? Return black rectangle.");
            }

            return(image);
        }