Library VisionTools

Code & Text

Read Single 1D/2D Code

Reads a single 1D/2D code from the image – supports formats such as UPC, EAN, Code 39, QR, and others.

Read Data Matrix Code

Reads a Data Matrix code from the image – a two-dimensional code consisting of black and white squares arranged in a grid pattern.

Read Text

Detects and reads text in the image – Optical Character Recognition (OCR) for text extraction.

Contour

Filter

Sobel

Applies the Sobel operator – computes the gradient magnitude and emphasizes edges and intensity variations.

Canny

Applies the Canny edge detection algorithm – detects edges based on intensity gradients in the image.

Laplacian

Applies the Laplace operator – computes the second derivative and enhances areas with rapid intensity changes.

Find Contours Basic

Detects and outlines contours (white areas) in a binary image – output is sorted by size (from largest to smallest).

Find Contours Advanced

Detects and outlines contours (white areas) in binary images – requires white objects; output is sorted from largest to smallest.

Draw Contours

Displays contours on an image – facilitates the identification of object or region outlines. Prerequisite: prior contour detection using “Find Contours.”

Get Contour By Index

Retrieves contours from a polyline array based on an index range – index is based on the distance from the image origin (0,0). Prerequisite: prior contour detection using “Find Contours.”

Get Contour By Area

Filters contours by area – sorted from largest to smallest area. Prerequisite: prior contour detection using “Find Contours.”

Contours To Region

Converts contours into a binary image (region) – can be used as a mask for further processing. Prerequisite: prior contour detection using “Find Contours.”

Filter

Arithmetic

Deviation

Determines deviations from the target value in the image – highlights areas that differ from the expected pattern.

Emphaszie

Adjusts the contrast and brightness of an image – enhances the display and visibility of details.

Sharpening

Sharpens an image by increasing the contrast between neighboring pixels – enhances details and clarity.

Gamma Correction

Adjusts the gamma value of the image – controls brightness and contrast for optimized display.

Substract

Subtracts pixel values of one image from another – highlights differences between the two images.

Pow

Raises pixel values to a power – increases or decreases brightness to enhance contrast or emphasize details.

Smoothing

Average

Applies an average filter – smooths the image and reduces noise or grainy structures.

Bilateral

Applies a bilateral filter – smooths the image while preserving edges by considering spatial distance and intensity differences.

Gauss

Applies a Gaussian filter – smooths the image by averaging pixel values within a Gaussian kernel size.

Median

Applies a median filter – reduces noise by replacing each pixel with the median of its neighborhood.

Transformation

Anisotropic Scaling

Scales the width and height of an image by different factors – allows for non-proportional resizing.

Isotropic Scaling

Scales an image uniformly in both directions – maintaining the aspect ratio.

Resize

Resizes an image to specified dimensions – width and height are adjusted precisely.

Translation

Shifts an image horizontally and/or vertically – freed areas are filled with black pixels.

Flip

Flips an image horizontally or vertically – creates a mirror image along the chosen axis.

Rotate Center

Rotates an image by a specified angle – rotation is performed around the center point.

Undistort

Removes the so-called fisheye effect from the image – corrects extreme wide-angle distortions.

Image

Compare Images

Compares two images and highlights differences – deviations appear dark, similarities lighter.

Convert to Grayscale

Converts an RGB image to grayscale – based on brightness, simplifying color-independent image processing.

Crop By Coordinates

Crops an image by coordinates – defined by the top-left and bottom-right corners, extracting the desired area.

Crop By Shape

Crops an image based on a defined shape – selectively extracts the area within that shape.

Draw Line Variant

Draws a line on the image – useful for marking, highlighting, or annotating in image processing tasks.

Draw Shape

Enables drawing shapes on the image – ideal for highlighting or marking specific areas.

Draw Ellipse

Draws an ellipse on the image – useful for annotation, highlighting, or marking specific image areas.

Reduce Domain To Shape

Limits the image area to a shape without cropping – pixels outside the shape are blacked out, coordinates remain unchanged.

Mean

Calculates the mean of all pixels – provides information about the average brightness or color intensity in the image.

Standard Deviation

Calculates the standard deviation of pixel values – indicates how much brightness or color varies or spreads within the image.

Miniumum

Determines the smallest pixel value in the image – indicates the darkest or lowest intensity area within the entire image.

Maximum

Determines the highest pixel value in the image – indicates the brightest or most intense area within the entire image.

Plot Text

Draws text at a specified position on the image – non-displayable characters are replaced with question marks.

Get Image Meta Information

Provides metadata about the input image – determines image type, width, and height.

Split Image (RGB)

Determines the RGB color channels of an image – returns one value per channel.

Split Image (HSV)

Determines the hue, saturation, and brightness of an RGB image – by converting it to the HSV color space and splitting the channels.

Combine Image

Creates a color image by combining individual images for the red, green, and blue channels.

Locate

Edge Intersection

Determines the intersection point of two segments in the image – optionally displaying the measurement result.

Find Single Edge

Detects edges in the image – marks strong brightness or color changes, usually at object boundaries or prominent structures.

Measure

Measure Segment To Segment

Measures the shortest, average, and longest distance between two segments – useful for analyzing spatial relationships.

Measure Distance (Segment)

Measures the distance between a point and a line segment – selectable: shortest distance, or distance to the segment’s start or end point.

Measure Distance (Line)

Measures the distance between a point and a line – useful for precise positioning relative to the line.

Measure Angle (Segment)

Measures the angle between two lines – measured counterclockwise from a reference line.

Measure Line To Line

Measures the distance between two lines – useful for analyzing parallelism or spacing within the image.

Measure Angle (Line)

Measures the angle between two lines – based on a reference line, measured counterclockwise.

Measure Angle (Rectangle)

Measures the angle between a line and a side of a non-rectangular rectangle counterclockwise.

Calculate Angle

Measures the angle between two vectors – measured counterclockwise starting from the reference vector.

Region

Morphology

Erode

Reduces white areas by removing edge pixels – useful for separating connected objects or removing small spots.

Dilate

Expands white areas by turning edge pixels white – fills gaps and connects broken object parts in the image.

Open

Applies erosion followed by dilation – smooths contours, removes noise, and reliably separates overlapping objects.

Close

Applies dilation followed by erosion – closes gaps, connects object parts, and smooths white areas in the image.

Gradient

Calculates the difference between dilation and erosion – highlights object contours and aids in edge detection.

Top Hat

Calculates the difference between the original image and the opening operation – highlights small bright details such as fine structures or noise.

Black Hat

Calculates the difference between the closing operation and the original image – highlights small dark details such as spots or objects against a bright background.

Hit Miss

Detects specific pixel patterns using two structuring elements – ideal for precise shape and pattern recognition in the image.

Area

Calculates the area of each white region in the binary image – provides quantitative size information about objects in the image.

Center

Detects and quantifies connected regions – groups of connected pixels with the same value are considered as individual objects.

Count Black Pixels

Counts black pixels in the image – useful for determining the size or extent of black areas.

Count Regions

Detects and counts individual regions – connected pixels with the same value are identified as separate objects.

Count White Pixels

Counts white pixels in the image – useful for determining the size or extent of white areas.

Compare Reigons

Merges two regions into one connected region – useful for object recognition, merging, or segmentation evaluation.

Concat Region

Combines two binary regions using a logical OR – white areas from both images are merged and preserved.

Substract

Subtracts one region from another (Region1 – Region2) – useful for isolating differences or overlaps.

Intersection

Compares the intersection of two regions – useful for identifying common areas or features in segmentations.

Invert Pixel Region

Inverts the pixels of a region – typically white to black and vice versa – for highlighting or creating a negative image.

Region To Image

Converts a binary region into a grayscale image.

Select Region

Selects regions based on area, index, height, or width within a specified value range.

Select Largest Region

Identifies the largest contiguous region – ideal for extracting dominant objects or relevant image areas.

Smallest Circle

Calculates the smallest circle that completely encloses a region – useful for shape analysis and measurement.

Smallest Rectangle

Calculates the smallest rectangle that completely encloses a region – useful for analysis and measurement.

Region Size

Returns the width and height of a region based on the input.

Sort Region

Sorts regions by X, Y, width, height or area – with specific sorting direction depending on the feature.

Sort Contours

Sorts contours by X, Y, length, or area; the number of returned contours can be limited.

Segmentation

Adaptive Threshold

Adaptive Thresholding adjusts the threshold locally – ideal for uneven lighting, significantly improves detection accuracy.

Binary Threshold

Sets pixels below the threshold to zero, and above to 255, i.e. white.

To Zero Threshold

Sets pixels below the threshold to zero, leaving others unchanged to preserve detail.

Color Threshold

This node specifically isolates image areas whose pixels lie in a defined color range.