Laplacian Filter
- Author: A.Ringeler (c) 2003, O.Conrad (c) 2008
- Menu: Grid | Filter
Description
The Laplacian filter is a high-pass filter operator that is commonly used for edge detection. Also referred to as Laplacian of Gaussian (LoG) or Marr-Hildreth-Operator.
The kernel can be defined by search radius and weighting function adjustment or be chosen from predefined standards.
Standard kernel 1 (3x3):
Standard kernel 2 (3x3):
Standard kernel 3 (3x3):
Parameters
| Name | Type | Identifier | Description | Constraints |
Input | Grid | grid, input | INPUT | - | - |
Output | Filtered Grid | grid, output, optional | RESULT | - | - |
Options | Grid System | grid system | PARAMETERS_GRID_SYSTEM | - | - |
Method | choice | METHOD | - | Available Choices:
[0] standard kernel 1
[1] standard kernel 2
[2] Standard kernel 3
[3] user defined kernel
Default: 3 |
Kernel Radius | integer number | KERNEL_RADIUS | - | Minimum: 1
Default: 2 |
Standard Deviation | floating point number | SIGMA | The standard deviation as percentage of the kernel radius. | Minimum: 1.000000
Default: 50.000000 |
Command Line
Usage: saga_cmd grid_filter 2 [-INPUT ] [-RESULT ] [-METHOD ] [-KERNEL_RADIUS ] [-SIGMA ]
-INPUT: Grid
grid, input
-RESULT: Filtered Grid
grid, output, optional
-METHOD: Method
choice
Available Choices:
[0] standard kernel 1
[1] standard kernel 2
[2] Standard kernel 3
[3] user defined kernel
Default: 3
-KERNEL_RADIUS: Kernel Radius
integer number
Minimum: 1
Default: 2
-SIGMA: Standard Deviation
floating point number
Minimum: 1.000000
Default: 50.000000