Added the the fith style type, Convolution kernals

Display-Image.cs

@@ -67,7 +67,7 @@ namespace ImageMinipulation {
         }
 
         /// <summary>
-        /// 
+        /// Changing the color of pixels inside a range to new colors
         /// </summary>
         public void Four()
         {
@@ -77,7 +77,7 @@ namespace ImageMinipulation {
             int width = pic.Cols;
             int height = pic.Rows;
 
-            var image = convertPic.InRange(new Bgr(75, 0, 0), new Bgr(255, 0, 0));
+            var image = convertPic.InRange(new Bgr(75, 0, 0), new Bgr(255, 125, 125));
 
             for (int i = 0; i < image.Rows; i++)
             {
@@ -87,7 +87,7 @@ namespace ImageMinipulation {
 
                     if (num.Intensity > 0)
                     {
-                        convertPic[i, j] = new Bgr(convertPic[i, j].MCvScalar.V0 - 50, convertPic[i, j].MCvScalar.V1 - 50, convertPic[i, j].MCvScalar.V2 + 100);                        
+                        convertPic[i, j] = new Bgr(convertPic[i, j].MCvScalar.V0 - 50, convertPic[i, j].MCvScalar.V1 + 100, convertPic[i, j].MCvScalar.V2 - 50);                        
                     }
 
                 }
@@ -99,5 +99,36 @@ namespace ImageMinipulation {
 
             CvInvoke.WaitKey();
         }
+
+        /// <summary>
+        /// 
+        /// </summary>
+        public void Five()
+        {
+            Mat pic = CvInvoke.Imread("./img/StarryNight.jpg");
+
+            /// This is a 3D matrix, and we will be using a process called convoluion
+            /// Convolution is the application of a kernel to each individual pixal and it's surrounding pixels
+            /// then you take that value and put it back in the pixel and some effect happens depending on the valuse
+            /// in the kernel
+            /// A new convoluted kernal can be looked up for the effect you want (this kernal is basic sharpen)
+            float[,] kernalArray = new float[3, 3]
+            {
+                {  0, -1,  0},
+                { -1,  5, -1},
+                {  0, -1,  0}
+            };
+
+            ConvolutionKernelF kernal = new ConvolutionKernelF(kernalArray);
+
+            Mat filteredPic = new Mat();
+            pic.CopyTo(filteredPic);
+
+            CvInvoke.Filter2D(pic, filteredPic, kernal, new System.Drawing.Point(0, 0));
+
+            CvInvoke.Imshow("Convoluted Night", filteredPic);
+
+            CvInvoke.WaitKey();
+        }
     }
 }