Computes the correlation between two matrices (an image and a kernel). For true convolution, rotate the kernel 180º. This may be used for typical image processing tasks like blurring, sharpening, and edge detection. By default, the convolution kernel is a 3 by 3 float32 matrix.
|out||n/a||1||1||1||1||1||char long float32 float64|
More about Matrix Operators
The Jitter MOP
Boundary case handling mode (default = 0 (clip))
0 = clip: cells which lie outside the domain of the input data will clip to the nearest cell within the domain of the input data (e.g. a convolution which would need to use cell (0,-1) would instead use cell (0,0)).
1 = wrap: cells which lie outside the domain of the input data will wrap via modulus arithmetic within the domain of the input data (e.g. a convolution on a 320 by 240 matrix which would need to use cell (0,-1) would instead use cell (0,239)).
2 = ignore: cells which lie outside the domain of the input data will not be used in calculating the convolution.
origin [2 ints]
The origin of the convolution kernel (default = 1 1)
Common Box Attributes
|Working with Video in Jitter||Working with Video in Jitter|