Filter

The Filter Module provides a comprehensive set of tools for designing dedicated spatial filters.

Use the filters to eliminate noice and get robust measurements and correct presentations of your images.
Examples of supported filter types:

Low-Pass (smoothing)
High-Pass
Sharpening
Laplacian of Gaussian
ISO 11562 Gaussian
ISO 13565 Filtering of
Deep Valleys
Median
Statistical Difference
Edge Enhancement (Roberts, Prewitt, Sobel)
Unsharp Masking
Outlier Filter

Custom filter kernels can be designed by adjusting a few parameters.

While modifying the filter parameters you can monitor the filtered result in almost real-time, and it is optional to view the difference image and the filter kernel in 3D simultaneously.

Features

Input

Filter methods for handling border pixels

Median filter shaped as rectangle, rotated rectangle and circle

Area of Interest (AOI) Support

Unicode support

Output (1D)

1D Gaussian filter size up to 4000 points

Display of filter form in 1D

1D Gaussian with size up to 4000 points

Output (2D)

Roberts edge enhancement filter

Prewitt edge enhancement filter

Sobel edge enhancement filter

Pixel Difference edge enhancement filter

Edge enhancement filter sensitive for one out of eight directions

Gaussian highpass filters defined by x, y nm wave length

2D Gaussian filter size up to 256x256

Gaussian ISO 13565 Deep Valley and High Peaks filter

Robust Gaussian filtering eliminating influence of outliers

Display of filter form in 2D

Filter difference image

Unsharp Masking filter

Median filter with adjustable sensitivity based on RMS value

Median filter with adjustable filter size up to 63x63 points

Particle outlier detection and removal filter

Pore outlier detection and removal filter

Spike outlier detection and removal filter

Negative spike detection and removal filter

Modification of outliers by Horizontal Interpolation

Modification of outliers by Vertical Interpolation

Modification of outliers by Min Value

Modification of outliers by Max Value

Modification of outliers by Mean Value

Modification of outliers by Median Value

Modification of outliers by Fixed Value

UniCrisp Highpass filter of optional size up to 256x256

Laplacian of Gaussian filter with optional size and cut-off wavelength

2D Gaussian filters with definable size up to 256x256 pixels

Mean Filter with size up to 256x256 pixels

Parametric 3x3 lowpass filter

Local Standard Deviation Equalization filter

Local Mean Equalization filter

Output (3D)

Display of filter form in 3D

Output (Values)

Median filter monitor for number of modified pixels

Unicode support

Reporting

Unicode support

Automation

Filter auto apply while modifying filter

Batch support for user definable filters

Automated marking outliers as void pixels

Data Exchange

Unicode support

Settings Load and Save

Save and load of filter settings