LoG¶

MLModule¶

genre	`Kernel`
status	`stable`
authors	`Regina Ochotzki`, `Wolf Spindler`
package	`MeVisLab/Standard`
dll	`MLKernel`
definition	MLKernel.def
see also	`Convolution`, `ExtendedConvolution`, `Morphology`, `KernelExample`, `KernelEditor`, `Sigma`, `Rank`, `StandardDeviation`
keywords	`enhance`, `kernel`, `filter`, `interval`, `convolution`, `Roberts`, `LoG`, `Sharpen`, `Laplacian`, `Laplace`, `Gaussian`

Purpose¶

The module LoG (Laplacian of Gaussian) implements a bandpass filter which combines the functionality of the Laplace and the Gauss filter.

The Laplace is a highpass filter and the Gauss is a lowpass filter. The LoG is also known as Marr-Hildreth- or Mexican-Hat-Filter.

Tips¶

The best Kernel Extent is >= 13.

The minimum and maximum values of the output image may have larger ranges than really useful. This is because a good estimation of them is not possible without calculating the entire image.

Windows¶

Default Panel¶

../../../Modules/ML/MLKernel/mhelp/Images/Screenshots/LoG._default.png

Input Fields¶

input0¶

name: input0, type: Image¶

Output Fields¶

output0¶

name: output0, type: Image¶

Parameter Fields¶

Field Index¶

`Border Handling`: `Enum`	`Use`: `Bool`
`Fill Value`: `Double`
`Kernel Extent`: `Integer`
`Max`: `Double`
`Min`: `Double`
`Normalize kernel`: `Bool`
`referenceExtentMode`: `Enum`
`Sigma`: `Double`

Visible Fields¶

Border Handling¶

name: borderHandling, type: Enum, default: PadSrcClamp, deprecated name: edgeMode¶

Defines the border handling mode.

See Border Handling in Kernel Operations for details.

Values:

Title	Name
No Pad	NoPad
Pad Src Fill	PadSrcFill
Pad Dst Fill	PadDstFill
Pad Dst Fill With Orig	PadDstFillWithOrig
Pad Src Undefined	PadSrcUndefined
Pad Dst Undefined	PadDstUndefined
Pad Src Clamp	PadSrcClamp

Fill Value¶

name: fillValue, type: Double, default: 0¶: Sets the fill value for certain Border Handling modes.

Kernel Extent¶

name: kernelExt, type: Integer, default: 2, minimum: 1, maximum: 100¶: Sets the extent of the kernel which is actually (2 * value) + 1.

Sigma¶

name: sigma, type: Double, default: 1.4, minimum: 0¶: Sets the variance for the Gaussian part of the calculation.

Min¶

name: intervalMinOfFilteredVoxels, type: Double, default: 0, deprecated name: ImageIntervalMin¶: Sets the minimum value threshold for outputting a subset of voxel.

Max¶

name: intervalMaxOfFilteredVoxels, type: Double, default: 1024, deprecated name: ImageIntervalMax¶: Sets the maximum value threshold for outputting a subset of voxel.

Use¶

name: useIntervalOfFilteredVoxels, type: Bool, default: FALSE, deprecated name: UseImageInterval¶: If checked, the module outputs only on a subset of voxels defined by a value range.

Normalize kernel¶

name: normalize, type: Bool, default: FALSE, deprecated name: autoNormalize¶: If checked, the kernel is being normalized.

Hidden Fields¶

referenceExtentMode¶

name: referenceExtentMode, type: Enum, default: Overlap¶