Library VisionTools

Category	Tool		Descpription
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.”
	Enclosing Box (Contour)		Encloses an outline in a single box.
	Enclosing Circle (Contour)		Encloses a contour in a single circle.
Filter
	Arithmetic
		Deviation	Determines deviations from the target value in the image – highlights areas that differ from the expected pattern.
		Emphasize	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
	Manipulate
		CLAHE	It improves local contrast by dividing the image into smaller regions and calculating histograms for each. A contrast-limited histogram correction is then applied.
		Compare Histogram	Measures similarities and differences between histograms.
		Equalize Histogram	Improves the contrast of an image by stretching the histogram and making better use of the brightness values.
		Expand Contrast	Increases contrast without altering image properties. A low-contrast image is thus stretched across the entire area.
		Histogram Back Projection	It checks the pixel distribution. It finds the target image in the region where the color distribution most closely matches the reference image.
		Normalize Histogram	Uniform distribution of pixel values over a defined area without changing the histogram.
	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.
	Minimum		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.
	Calucate Histogram		Calculates the histogram of an image. Supports grayscale (mono), RGB and HSV channels.
Locate
	Edge Intersection		Determines the intersection point of two segments in the image – optionally displaying the measurement result.
	Find Edges		Detects edges in the image – marks strong brightness or color changes, usually at object boundaries or prominent structures.
	Find Circle		Detects a circle within a region. Smallest, Fitting, Mean, or Largest Circle can be selected.
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 Regions		Merges two regions into one connected region – useful for object recognition, merging, or segmentation evaluation.
	Concat Regions		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.
	Sort Edges		Sorts an array of edges based on a specific feature.
	Crop By Shape		Cuts a region into a specific shape.
	Reduce Domain To Shape		Reduziert den Bereich einer Region auf eine bestimmte Form, jedoch ohne dabei die Region abzuschneiden.
	Enclosing Circle (Region)		Encloses an area within a single circle.
	Enclosing Rectangle (Region)		Encloses an area within a single rectangle.
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.
	Color Threshold		This node specifically isolates image areas whose pixels lie in a defined color range.
	To Zero Threshold		Sets pixels below the threshold to zero, leaving others unchanged to preserve detail.