Module: Scale-Space LoG MIP ()

Description:

This is an experimental module from the Xtra Library: https://xtras.amira-avizo.com.

This filter applies a Laplacian of Gaussian (LoG) filter at different scales, to enhance spherical or ellipsoidal (blob-like) objects. This filter enhances objects that appear bright on a dark background. For each pixel, the maximum LoG response and the scale providing this maximum response are recorded, and presented as two output images. Each LoG filter is normalized for scale-invariance. The scale is proportional to the standard deviation of the gaussian kernel, using the approximation: radius = sqrt(3)*std_dev. The scale can be either isotropic, or different for each axis. In the latter case, the output scale field will indicate the geometric average of the radii along each axis.

Connections:

Data [required]
Input image.

Ports:

Console

Opens the Python Script Object console of the module as the active console window.

Number of Scales

Number of scales used for computing Laplacian of Gaussian filters.

Isotropic

If Isotropic is Not selected, different radius values can be specified for the x, y and z axes separately.

Minimum Radius [px]

Radius value for the LoG Filter, or Minimum Radius value when the Number of Scales is more than 1.

Step Radius [px]

When the Number of Scales is more than 1, this indicates the radius increment from one scale to the next.

Maximum Radius [px]

When the Number of Scales is more than 1, this indicates the maximum radius for which the LoG will be computed.