NI Vision for LabVIEW

Processing

  • Updated2023-02-21
  • 2 minute(s) read
Owning Palette: Image Processing
Requires: NI Vision Development Module

Use the Processing VIs to process grayscale and binary images. Use these VIs to transform images using predefined or custom lookup tables, change the contrast information in an image, invert the values in an image, and segment the image.

Palette Object Description
IMAQ UserLookup 2

Performs a user-specified lookup-table transformation by remapping the pixel values in an image.

IMAQ MathLookup

Converts the pixel values of an image by replacing them with values from a defined lookup table. This VI modifies the dynamic range of either part of an image or the complete image, depending on the type of curve chosen.

IMAQ Equalize

Produces a histogram equalization of an image. This VI redistributes the pixel values of an image to linearize the accumulated histogram. The precision of the VI is dependent on the histogram precision, which in turn is dependent on the number of classes used in the histogram.

IMAQ BCGLookup

Applies a brightness, contrast, and gamma correction to an image. The correction is performed by computing and applying a lookup table. Brightness, Contrast, and Gamma control the changes made to the transfer function represented by the lookup table.

IMAQ Threshold

Applies a threshold to an image.

IMAQ MultiThreshold

Performs thresholds of multiple intensity ranges to an image.

IMAQ Label

Labels the particles in a binary image.

IMAQ Watershed Transform

Computes the watershed transform on an image.

IMAQ Inverse

Inverts the pixel intensities of an image to compute the negative of an image.

IMAQ AutoBThreshold 2

Computes the optimal threshold value for an image or a region of interest and applies the computed threshold.

IMAQ AutoMThreshold 2

Computes the optimal values to threshold an image into a given number of classes.

IMAQ Local Threshold

Thresholds an image into a binary image based on the specified local adaptive thresholding method.

IMAQ Flat Field Correction

Corrects image intensity using flat field and dark field images and returns a corrected image. Recreate the flat field image whenever the imaging setup changes. Use the IMAQ Compute Average Image VI or the IMAQ Compute Median Image VI to create the image for the Flat Field Image input.

IMAQ Estimate Flat Field Model

Returns a flat field image by fitting a mathematical model on the supplied image.

IMAQ Compute Average Image

Computes the average image of the supplied images. Pass the resulting image to the Flat Field Image input of the IMAQ Flat Field Correction VI.

IMAQ Compute Median Image

Computes the median image of the supplied images. Pass the resulting image to the Flat Field Image input of the IMAQ Flat Field Correction VI.

IMAQ MagicWand

Creates an image mask by extracting a region surrounding a reference pixel, called the origin, and using a tolerance of intensity variations based on this reference pixel.