應用裝飾模式於影像處理步驟: 使用C#－天天向上

半年前寫過應用裝飾模式於影像處理函式，溫故知新後想嘗試重新翻寫，希望對於正在學習裝飾模式的同好有所助益!

在上一篇裝飾模式應用: 使用C#，提到三個類別Building、Furniture(Building子類別)、及繼承Furniture子類別，透過裝飾模式方式，讓客戶端可以任意順序裝飾物件，搭配不同資料型態儲存如陣列或List(長度可不固定)，這篇將利用裝飾模式應用於影像處理步驟組裝。

1. Line 4: img私有影像成員

2. Line 5: name儲存影像處理方法名稱

3. Line 6~10: 存取name

4. Line 11~21: 存取img

5. Line 22~25: ImageObject創建子

6. Line 27~30: Process()虛擬函式: 影像處理函式

7. Line 31~35: ShowImg()虛擬函式: 顯示影像

8. Line 36: 保護級資料成員 ImageObject componet，用來裝飾(掛載)下一個物件

9. Line 37~40: 裝飾物件函式

   1: public class ImageObject   2:   {   3:       public ImageObject() { }   4:       protected Mat img = new Mat();   5:       protected string name;   6:       public string Name   7:       {   8:           get { return name; }   9:           set { name = value; }  10:       }  11:       public Mat Image  12:       {  13:           get  14:           {  15:               return img;  16:           }  17:           set  18:           {  19:               value.CopyTo(img);  20:           }  21:       }  22:       public ImageObject(string name)  23:       {  24:           this.name = name;  25:       }  26:    27:       public virtual void Process()  28:       {  29:           Console.WriteLine("{0} 影像處理", name);  30:       }  31:       public virtual void ShowImg()  32:       {  33:           CvInvoke.Imshow(name, img);  34:           //CvInvoke.WaitKey();  35:       }  36:       protected ImageObject component;  37:       public void Decorate(ImageObject component)  38:       {  39:           this.component = component;  40:       }  41:    42:   }

1. Line9: 將目前影像處理結果(img)複製給下一個裝飾物件(component.Image)

2. Line10: 執行下一個裝飾物件影像處理: component.Process()

   1: public class ImageCV:ImageObject   2:  {   3:      public override void Process()   4:      {   5:          if(component!=null)   6:          {   7:              Console.WriteLine("{0} 影像處理", name);   8:              // 將目前影像處理結果複製給下一個裝飾物件(component)   9:              component.Image = img.Clone();  10:              component.Process();  11:          }  12:      }  13:    14:  }

LoadImage類別(繼承ImageObject)

1. Line 5~9: LoadImage創建子，其中輸入filename為影像名稱，name為影像處理名稱。

2. Line 10~20: 覆寫Process()，載入一張影像

3. Line 19: 相當於執行ImageObject.Process()，把目前影像複製給下一個裝飾物件【component.Image = img.Clone();】，並執行下一個裝飾物件Process()

【component.Process();】

   1: public class LoadImage : ImageCV   2:     {   3:         string filename;   4:         public LoadImage() { }   5:         public LoadImage(string filename)   6:         {   7:             this.filename = filename;     // 影像名稱(完整路徑)   8:             this.name = "LoadImage()";    // 影像處理名稱   9:         }  10:         public override void Process()  11:         {  12:             img = CvInvoke.Imread(filename);  13:             if (img.IsEmpty)  14:             {  15:                 Console.WriteLine("{0} Error, Image is empty! ", name);  16:                 Console.ReadLine();  17:                 return;  18:             }  19:             base.Process();  20:         }  21:     }

RGB2Gray類別(繼承ImageObject)

1. Line 14: 新增一個local影像變數imgDst，影像大小與img相同，但channel數為1。

2. Line 15: 執行彩色轉灰階 CvtColor(…)

3. Line 16: 將灰階影像在存回原本img。

4. Line 17: 相當於執行ImageObject.Process()，把目前影像複製給下一個裝飾物件【component.Image = img.Clone();】，並執行下一個裝飾物件Process()

【component.Process();】

   1: public class RGB2Gray :ImageCV   2:     {   3:         public RGB2Gray() { name = "RGB2Gray()"; }   4:         public override void Process()   5:         {   6:             if (img.IsEmpty)   7:             {   8:                 Console.WriteLine("{0} Error, Image is empty! ", name);   9:                 Console.ReadLine();  10:                 return;  11:             }  12:             int width = img.Width;  13:             int height = img.Height;  14:             Mat imgDst = new Mat(width, height, DepthType.Cv8U, 1);  15:             CvInvoke.CvtColor(img, imgDst, ColorConversion.Bgr2Gray);  16:             img = imgDst.Clone();    // 將灰階影像在存回原本img  17:             base.Process();  18:         }  19:     }

PyrDown類別(繼承ImageObject)

   1: public class PyrDown:ImageCV   2: {   3:     public PyrDown() { this.name = "PyrDown()"; }   4:     public override void Process()   5:     {   6:         if (img.IsEmpty)   7:         {   8:             Console.WriteLine("{0} Error, Image is empty! ", name);   9:             Console.ReadLine();  10:             return;  11:         }  12:         Mat imgDst = new Mat();  13:         CvInvoke.PyrDown(img, imgDst);  14:         img = imgDst.Clone();  15:         base.Process();  16:     }  17:    18: }

PyrUp類別(繼承ImageObject)

   1: public class PyrUp : ImageCV   2:   {   3:       public PyrUp() { this.name = "PyrUp()"; }   4:       public override void Process()   5:       {   6:           if (img.IsEmpty)   7:           {   8:               Console.WriteLine("{0} Error, Image is empty! ", name);   9:               Console.ReadLine();  10:               return;  11:           }  12:           Mat imgDst = new Mat();  13:           CvInvoke.PyrUp(img, imgDst);  14:           img = imgDst.Clone();  15:           //ShowImg();  16:           base.Process();  17:       }  18:   }

Smooth類別(繼承ImageObject)

   1: public class Smooth : ImageCV   2:    {   3:        public Smooth() { this.name = "Smooth()"; }   4:        public override void Process()   5:        {   6:            if (img.IsEmpty)   7:            {   8:                Console.WriteLine("{0} Error, Image is empty! ", name);   9:                Console.ReadLine();  10:                return;  11:            }  12:            Mat imgDst = new Mat();  13:            CvInvoke.PyrDown(img, imgDst);  14:            CvInvoke.PyrUp(imgDst, imgDst);  15:            img = imgDst.Clone();  16:            //ShowImg();  17:            base.Process();  18:        }  19:    }

客戶端測試1

假設一個影像處理步驟如下

   1: LoadImage loadImage = new LoadImage(@"C:\Emgu\images\lena.jpg");   2: RGB2Gray rgb2gray = new RGB2Gray();   3: PyrDown pyrDown = new PyrDown();   4: PyrUp pyrUp = new PyrUp();   5: Smooth smooth = new Smooth();   6: string name = "object #1";   7: ImageObject imageObject1 = new ImageObject(name);   8:     9: loadImage.Name = name + " : (1)LoadImage()";  10: pyrDown.Name = name + " : (2)pyrDown()";  11: rgb2gray.Name = name + " : (3)rgb2gray()";  12: pyrUp.Name = name + " : (4)pyrUp()";  13: smooth.Name = name + " : (5)Smooth()";  14:    15: List<ImageObject> imgList1 = new List<ImageObject>();  16: imgList1.Add(loadImage);  17: imgList1.Add(pyrDown);  18: imgList1.Add(rgb2gray);  19: imgList1.Add(pyrUp);  20: imgList1.Add(smooth);  21: imgList1.Add(imageObject1);  22:    23: ImgProcList.Run(imgList1);

ImgProcList類別

   1: public static class ImgProcList   2: {   3:     public static void Run(List<ImageObject> imgList)   4:     {   5:         // 執行影像處理流程   6:         for (int i = 0; i < imgList.Count - 2; i++)   7:             imgList[i].Decorate(imgList[i + 1]);   8:         imgList[0].Process();   9:    10:         // 顯示每個步驟影像處理結果  11:         for (int i = 0; i < imgList.Count - 1; i++)  12:         {  13:             imgList[i].ShowImg();  14:         }  15:         CvInvoke.WaitKey(0);  16:     }  17: }

客戶端測試2

假設一個影像處理步驟如下

   1: name = "object #2";   2: ImageObject imageobject2 = new ImageObject(name);   3: List<ImageObject> imgList2 = new List<ImageObject>();   4:     5: loadImage.Name = name + ": (1)loadimage()";   6: imgList2.Add(loadImage);   7: rgb2gray.Name = name + ": (2)rgb2gray()";   8: imgList2.Add(rgb2gray);   9: pyrDown.Name = name + ": (3)pyrdown()";  10: imgList2.Add(pyrDown);  11: pyrUp.Name = name + ": (4)pyrup()";  12: imgList2.Add(pyrUp);  13: imgList2.Add(imageobject2);  14:    15: ImgProcList.Run(imgList2);