使用OpencvSharp的InRange函數對圖像進行RGB顏色的分割。
1 using System; 2 using OpenCvSharp; 3 using OpenCvSharp.Extensions; 4 using OpenCvSharp.XFeatures2D; 5 using static OpenCvSharp.Cv2; 6 namespace Mycv 7 { 8 public class cvGO 9 { 10 /// <summary>
11 /// 分割顏色得到面積占比的大小 12 /// </summary>
13 /// <param name="srcbmp">原圖</param>
14 /// <param name="dstbmp">結果圖</param>
15 /// <param name="value_Low">最低值RGB(0-255) ([0]:R,[1]:G,[2]:B)這里用一個長度為3的數組存放最低RGB值</param>
16 /// <param name="value_High">最高值RGB(0-255)([0]:R,[1]:G,[2]:B)這里用一個長度為3的數組存放最高RGB值 </param>
17 public float Color_Inrange(Bitmap srcbmp, out Bitmap dstbmp, int[] value_Low, int[] value_High) 18 { 19 //bitmap轉mat
20 using (Mat src = BitmapConverter.ToMat(srcbmp)) 21 using (Mat dst = new Mat()) 22 { 23 //根據傳進來的2個數組新建兩個Scalar
24 Scalar cvL = new Scalar(value_Low[0], value_Low[1], value_Low[2]); 25 Scalar cvH = new Scalar(value_High[0], value_High[1], value_High[2]); 26
27 //這一步就是顏色分割
28 InRange(src, cvL, cvH, dst); 29 //Inrange的時候已經給dst賦值了,這里是mat轉bitmap
30 dstbmp = dst.ToBitmap(); 31 //用CountNonZero來得到面積,然后再計算占比並返回這個值
32 return (CountNonZero(dst) / (src.Width * src.Height * 1.0f) * 100); 33 } 34 } 35 } 36 }