■ Bitmap 클래스에서 스무딩 필터(Smoothing Filter)를 사용하는 방법을 보여준다.
▶ SmoothingFilterType.cs
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namespace TestProject { /// <summary> /// 스무딩 필터 타입 /// </summary> public enum SmoothingFilterType { /// <summary> /// None /// </summary> None, /// <summary> /// Gaussian 3X3 /// </summary> Gaussian3X3, /// <summary> /// Gaussian 5X5 /// </summary> Gaussian5X5, /// <summary> /// Gaussian 7X7 /// </summary> Gaussian7X7, /// <summary> /// Median 3X3 /// </summary> Median3X3, /// <summary> /// Median 5X5 /// </summary> Median5X5, /// <summary> /// Median 7X7 /// </summary> Median7X7, /// <summary> /// Median 9X9 /// </summary> Median9X9, /// <summary> /// Mean 3X3 /// </summary> Mean3X3, /// <summary> /// Mean 5X5 /// </summary> Mean5X5, /// <summary> /// Low Pass 3X3 /// </summary> LowPass3X3, /// <summary> /// Low Pass 5X5 /// </summary> LowPass5X5, /// <summary> /// Sharpen 3X3 /// </summary> Sharpen3X3, } } |
▶ Matrix.cs
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namespace TestProject { /// <summary> /// 매트릭스 /// </summary> public static class Matrix { //////////////////////////////////////////////////////////////////////////////////////////////////// Property ////////////////////////////////////////////////////////////////////////////////////////// Static //////////////////////////////////////////////////////////////////////////////// Public #region Gaussian 3X3 - Gaussian3X3 /// <summary> /// Gaussian 3X3 /// </summary> public static double[,] Gaussian3X3 { get { return new double[,] { { 1, 2, 1 }, { 2, 4, 2 }, { 1, 2, 1 } }; } } #endregion #region Gaussian 5X5 - Gaussian5X5 /// <summary> /// Gaussian 5X5 /// </summary> public static double[,] Gaussian5X5 { get { return new double[,] { { 2, 4, 5, 4, 2 }, { 4, 9, 12, 9, 4 }, { 5, 12, 15, 12, 5 }, { 4, 9, 12, 9, 4 }, { 2, 4, 5, 4, 2 } }; } } #endregion #region Gaussian 7X7 - Gaussian7X7 /// <summary> /// Gaussian 7X7 /// </summary> public static double[,] Gaussian7X7 { get { return new double[,] { { 1, 1, 2, 2, 2, 1, 1 }, { 1, 2, 2, 4, 2, 2, 1 }, { 2, 2, 4, 8, 4, 2, 2 }, { 2, 4, 8, 16, 8, 4, 2 }, { 2, 2, 4, 8, 4, 2, 2 }, { 1, 2, 2, 4, 2, 2, 1 }, { 1, 1, 2, 2, 2, 1, 1 } }; } } #endregion #region Mean 3X3 - Mean3X3 /// <summary> /// Mean 3X3 /// </summary> public static double[,] Mean3X3 { get { return new double[,] { { 1, 1, 1 }, { 1, 1, 1 }, { 1, 1, 1 } }; } } #endregion #region Mean 5X5 - Mean5X5 /// <summary> /// Mean 5X5 /// </summary> public static double[,] Mean5X5 { get { return new double[,] { { 1, 1, 1, 1, 1 }, { 1, 1, 1, 1, 1 }, { 1, 1, 1, 1, 1 }, { 1, 1, 1, 1, 1 }, { 1, 1, 1, 1, 1 } }; } } #endregion #region Low Pass 3X3 - LowPass3X3 /// <summary> /// Low Pass 3X3 /// </summary> public static double [,] LowPass3X3 { get { return new double [,] { { 1, 2, 1 }, { 2, 4, 2 }, { 1, 2, 1 } }; } } #endregion #region Low Pass 5X5 - LowPass5X5 /// <summary> /// Low Pass 5X5 /// </summary> public static double[,] LowPass5X5 { get { return new double[,] { { 1, 1, 1, 1, 1 }, { 1, 4, 4, 4, 1 }, { 1, 4, 12, 4, 1 }, { 1, 4, 4, 4, 1 }, { 1, 1, 1, 1, 1 } }; } } #endregion #region Sharpen 3X3 - Sharpen3X3 /// <summary> /// Sharpen 3X3 /// </summary> public static double[,] Sharpen3X3 { get { return new double[,] { { -1, -2, -1 }, { 2, 4, 2 }, { 1, 2, 1 } }; } } #endregion } } |
▶ BitmapHelper.cs
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using System; using System.Collections.Generic; using System.Drawing; using System.Drawing.Imaging; using System.Runtime.InteropServices; namespace TestProject { /// <summary> /// 비트맵 헬퍼 /// </summary> public static class BitmapHelper { //////////////////////////////////////////////////////////////////////////////////////////////////// Method ////////////////////////////////////////////////////////////////////////////////////////// Static //////////////////////////////////////////////////////////////////////////////// Public #region 비트맵 로드하기 - LoadBitmap(filePath) /// <summary> /// 비트맵 로드하기 /// </summary> /// <param name="filePath">파일 경로</param> /// <returns>비트맵</returns> public static Bitmap LoadBitmap(string filePath) { using(Bitmap bitmap = new Bitmap(filePath)) { return new Bitmap(bitmap); } } #endregion #region 스무딩 필터 적용하기 - ApplySmoothingFilter(sourceBitmap, filterType) /// <summary> /// 스무딩 필터 적용하기 /// </summary> /// <param name="sourceBitmap">소스 비트맵</param> /// <param name="filterType">스무딩 필터 타입</param> /// <returns>비트맵</returns> public static Bitmap ApplySmoothingFilter(Bitmap sourceBitmap, SmoothingFilterType filterType = SmoothingFilterType.None) { Bitmap targetBitmap = null; switch(filterType) { case SmoothingFilterType.None : targetBitmap = sourceBitmap; break; case SmoothingFilterType.Gaussian3X3 : targetBitmap = ApplyConvolutionFilter(sourceBitmap, Matrix.Gaussian3X3, 1.0 / 16.0, 0); break; case SmoothingFilterType.Gaussian5X5 : targetBitmap = ApplyConvolutionFilter(sourceBitmap, Matrix.Gaussian5X5, 1.0 / 159.0, 0); break; case SmoothingFilterType.Gaussian7X7 : targetBitmap = ApplyConvolutionFilter(sourceBitmap, Matrix.Gaussian7X7, 1.0 / 136.0, 0); break; case SmoothingFilterType.Median3X3 : targetBitmap = ApplyMedianFilter(sourceBitmap, 3); break; case SmoothingFilterType.Median5X5 : targetBitmap = ApplyMedianFilter(sourceBitmap, 5); break; case SmoothingFilterType.Median7X7 : targetBitmap = ApplyMedianFilter(sourceBitmap, 7); break; case SmoothingFilterType.Median9X9 : targetBitmap = ApplyMedianFilter(sourceBitmap, 9); break; case SmoothingFilterType.Mean3X3 : targetBitmap = ApplyConvolutionFilter(sourceBitmap, Matrix.Mean3X3, 1.0 / 9.0, 0); break; case SmoothingFilterType.Mean5X5 : targetBitmap = ApplyConvolutionFilter(sourceBitmap, Matrix.Mean5X5, 1.0 / 25.0, 0); break; case SmoothingFilterType.LowPass3X3 : targetBitmap = ApplyConvolutionFilter(sourceBitmap, Matrix.LowPass3X3, 1.0 / 16.0, 0); break; case SmoothingFilterType.LowPass5X5 : targetBitmap = ApplyConvolutionFilter(sourceBitmap, Matrix.LowPass5X5, 1.0 / 60.0, 0); break; case SmoothingFilterType.Sharpen3X3 : targetBitmap = ApplyConvolutionFilter(sourceBitmap, Matrix.Sharpen3X3, 1.0 / 8.0, 0); break; } return targetBitmap; } #endregion //////////////////////////////////////////////////////////////////////////////// Private #region 중앙값 필터 적용하기 - ApplyMedianFilter(sourceBitmap, matrixSize) /// <summary> /// 중앙값 필터 적용하기 /// </summary> /// <param name="sourceBitmap">소스 비트맵</param> /// <param name="matrixSize">매트릭스 크기</param> /// <returns>비트맵</returns> private static Bitmap ApplyMedianFilter(Bitmap sourceBitmap, int matrixSize) { BitmapData sourceBitmapData = sourceBitmap.LockBits ( new Rectangle(0, 0, sourceBitmap.Width, sourceBitmap.Height), ImageLockMode.ReadOnly, PixelFormat.Format32bppArgb ); byte[] sourceByteArray = new byte[sourceBitmapData.Stride * sourceBitmapData.Height]; byte[] targetByteArray = new byte[sourceBitmapData.Stride * sourceBitmapData.Height]; Marshal.Copy(sourceBitmapData.Scan0, sourceByteArray, 0, sourceByteArray.Length); sourceBitmap.UnlockBits(sourceBitmapData); int filterOffset = (matrixSize - 1) / 2; int temporaryOffset = 0; int byteOffset = 0; List<int> neighbourPixelList = new List<int>(); byte[] middlePixel; for(int offsetY = filterOffset; offsetY < sourceBitmap.Height - filterOffset; offsetY++) { for(int offsetX = filterOffset; offsetX < sourceBitmap.Width - filterOffset; offsetX++) { byteOffset = offsetY * sourceBitmapData.Stride + offsetX * 4; neighbourPixelList.Clear(); for(int filterY = -filterOffset; filterY <= filterOffset; filterY++) { for(int filterX = -filterOffset; filterX <= filterOffset; filterX++) { temporaryOffset = byteOffset + (filterX * 4) + (filterY * sourceBitmapData.Stride); neighbourPixelList.Add(BitConverter.ToInt32(sourceByteArray, temporaryOffset)); } } neighbourPixelList.Sort(); middlePixel = BitConverter.GetBytes(neighbourPixelList[filterOffset]); targetByteArray[byteOffset ] = middlePixel[0]; targetByteArray[byteOffset + 1] = middlePixel[1]; targetByteArray[byteOffset + 2] = middlePixel[2]; targetByteArray[byteOffset + 3] = middlePixel[3]; } } Bitmap targetBitmap = new Bitmap(sourceBitmap.Width, sourceBitmap.Height); BitmapData targetBitmapData = targetBitmap.LockBits ( new Rectangle(0, 0, targetBitmap.Width, targetBitmap.Height), ImageLockMode.WriteOnly, PixelFormat.Format32bppArgb ); Marshal.Copy(targetByteArray, 0, targetBitmapData.Scan0, targetByteArray.Length); targetBitmap.UnlockBits(targetBitmapData); return targetBitmap; } #endregion #region 회선 필터 적용하기 - ApplyConvolutionFilter(sourceBitmap, filterArray, factor, bias) /// <summary> /// 회선 필터 적용하기 /// </summary> /// <param name="sourceBitmap">소스 비트맵</param> /// <param name="filterArray">필터 배열</param> /// <param name="factor">인자</param> /// <param name="bias">바이어스</param> /// <returns>비트맵</returns> private static Bitmap ApplyConvolutionFilter(Bitmap sourceBitmap, double[,] filterArray, double factor = 1, int bias = 0) { BitmapData sourceBitmapData = sourceBitmap.LockBits ( new Rectangle(0, 0, sourceBitmap.Width, sourceBitmap.Height), ImageLockMode.ReadOnly, PixelFormat.Format32bppArgb ); byte[] sourceByteArray = new byte[sourceBitmapData.Stride * sourceBitmapData.Height]; byte[] targetByteArray = new byte[sourceBitmapData.Stride * sourceBitmapData.Height]; Marshal.Copy(sourceBitmapData.Scan0, sourceByteArray, 0, sourceByteArray.Length); sourceBitmap.UnlockBits(sourceBitmapData); double blue = 0.0; double green = 0.0; double red = 0.0; int filterWidth = filterArray.GetLength(1); int filterHeight = filterArray.GetLength(0); int filterOffset = (filterWidth - 1) / 2; int sourceOffset = 0; int targetOffset = 0; for(int offsetY = filterOffset; offsetY < sourceBitmap.Height - filterOffset; offsetY++) { for(int offsetX = filterOffset; offsetX < sourceBitmap.Width - filterOffset; offsetX++) { blue = 0; green = 0; red = 0; targetOffset = offsetY * sourceBitmapData.Stride + offsetX * 4; for(int filterY = -filterOffset; filterY <= filterOffset; filterY++) { for(int filterX = -filterOffset; filterX <= filterOffset; filterX++) { sourceOffset = targetOffset + (filterX * 4) + (filterY * sourceBitmapData.Stride); blue += (double)(sourceByteArray[sourceOffset]) * filterArray[filterY + filterOffset, filterX + filterOffset]; green += (double)(sourceByteArray[sourceOffset + 1]) * filterArray[filterY + filterOffset, filterX + filterOffset]; red += (double)(sourceByteArray[sourceOffset + 2]) * filterArray[filterY + filterOffset, filterX + filterOffset]; } } blue = factor * blue + bias; green = factor * green + bias; red = factor * red + bias; blue = (blue > 255 ? 255 : (blue < 0 ? 0 : blue )); green = (green > 255 ? 255 : (green < 0 ? 0 : green)); red = (red > 255 ? 255 : (red < 0 ? 0 : red )); targetByteArray[targetOffset ] = (byte)(blue); targetByteArray[targetOffset + 1] = (byte)(green); targetByteArray[targetOffset + 2] = (byte)(red); targetByteArray[targetOffset + 3] = 255; } } Bitmap targetBitmap = new Bitmap(sourceBitmap.Width, sourceBitmap.Height); BitmapData targetBitmapData = targetBitmap.LockBits ( new Rectangle(0, 0, targetBitmap.Width, targetBitmap.Height), ImageLockMode.WriteOnly, PixelFormat.Format32bppArgb ); Marshal.Copy(targetByteArray, 0, targetBitmapData.Scan0, targetByteArray.Length); targetBitmap.UnlockBits(targetBitmapData); return targetBitmap; } #endregion } } |
▶ MainForm.cs
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using System.Drawing; using System.Windows.Forms; namespace TestProject { /// <summary> /// 메인 폼 /// </summary> public partial class MainForm : Form { //////////////////////////////////////////////////////////////////////////////////////////////////// Constructor ////////////////////////////////////////////////////////////////////////////////////////// Public #region 생성자 - MainForm() /// <summary> /// 생성자 /// </summary> public MainForm() { InitializeComponent(); Bitmap sourceBitmap = BitmapHelper.LoadBitmap("IMAGE\\sample.jpg"); Bitmap targetBitmap = BitmapHelper.ApplySmoothingFilter(sourceBitmap, SmoothingFilterType.Gaussian3X3); this.pictureBox.SizeMode = PictureBoxSizeMode.Zoom; this.pictureBox.Image = targetBitmap; } #endregion } } |
