Image Kernels
Use graylevel for processing
Centerpoint
Dimension
Factor
Matrix Sum:
1
Matrix Sum with Factor:
1
Normalize to a kernel sum of 1
Do convolution
Preset Kernels:
Certain kernels are well known and named. A collection of them are provided below as presets.
Identity
0
0
0
0
1
0
0
0
0
Edge detection 1
0
-1
0
-1
4
-1
0
-1
0
Edge detection 2
-1
-1
-1
-1
8
-1
-1
-1
-1
Sharpen
0
-1
0
-1
5
-1
0
-1
0
Emboss
-1
-1
0
-1
1
1
0
1
1
Box blur
1/9
1
1
1
1
1
1
1
1
1
Gaussian blur (3x3)
1/16
1
2
1
2
4
2
1
2
1
Gaussian blur (5x5)
1/256
1
4
6
4
1
4
16
24
16
4
6
24
36
24
6
4
16
24
16
4
1
4
6
4
1
Sobel X
1
0
-1
2
0
-2
1
0
-1
Sobel Y
1
2
1
0
0
0
-1
-2
-1
References:
Kernel (image processing)
Sobel operator