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Image

Compare Images

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

Flow

image-20250904-192458.png

Parameter set

Parameter

Type

Description

Value range

Effect Color

Effect Mono

Image 1

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

No color image possible.

UNBEKANNTER ANHANG

UNBEKANNTER ANHANG

Image 2

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

No color image possible.

image-20250904-192203.png

image-20250904-192056.png

Return

Image

The return value is also a grayscale image.

No result possible.

image-20250904-192128.png

Convert to Grayscale

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

Flow

image-20250904-192609.png

Parameter set

Parameter

Type

Description

Effect

Image

Image

Color image to be converted to grayscale.

UNBEKANNTER ANHANG

Return

Image

Converted grayscale image.

UNBEKANNTER ANHANG

Crop By Coordinates

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

Flow

image-20250904-202414.png

Parameter set

Parameter

Type

Description

Value range

Effect Min

Effect Max

Image

Image

A grayscale or color image is possible. You can use the "Convert To Grayscale" node.

UNBEKANNTER ANHANG

X1
Y1
X2
Y2

Int32

Coordinates in the image.

X1: 300 X2: 900
Y1: 300 Y2: 900

image-20250904-202126.png

X1: 300 X2: 500
Y1: 300 Y2: 900

image-20250904-202239.png

Crop By Shape

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

Flow

Example 1: Box

image-20250904-202729.png

Example 2: Polygon

image-20250904-203207.png

Parameter set

Parameter

Type

Description

Value range

Effect

Image

Image

A grayscale or color image is possible. You can use the "Convert To Grayscale" node.

UNBEKANNTER ANHANG

Shape

Shape

The shape used to crop the image.

Supported shapes are: box, rectangle, circle, polygon and region.

The shapes can come from the annotations in the image editor or be created using Make nodes.

Box
(see example 1)

image-20250904-202126.png

Polygon
(see example 2)

image-20250904-203957.png

Draw Line Variant

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

Flow

Parameter set

Parameter

Type

Description

Value range

Effect Min

Effect Max

Image

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

UNBEKANNTER ANHANG

UNBEKANNTER ANHANG

Mask Width (Pixel)

Int32

Set the width of the mask used for the deviation calculation. Larger values ​​cover a wider area, helping to detect larger or more significant deviations.

Width: 5px
Height: 5px

UNBEKANNTER ANHANG

Width: 200px
Height: 200px

image-20250903-055627.png

Draw Shape

Allows you to draw shapes in the image – ideal for highlighting or marking specific areas.

Flow

Parameter set

Parameter

Type

Description

Value range

Effect Min

Effect Max

Image

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

UNBEKANNTER ANHANG

UNBEKANNTER ANHANG

Mask Width (Pixel)

Int32

Set the width of the mask used for the deviation calculation. Larger values ​​cover a wider area, helping to detect larger or more significant deviations.

Width: 5px
Height: 5px

UNBEKANNTER ANHANG

Width: 200px
Height: 200px

image-20250903-055627.png

Draw Ellipse

Draws an ellipse into the image – useful for annotating, highlighting or marking specific image areas.

Flow

Parameter set

Parameter

Type

Description

Value range

Effect Min

Effect Max

Image

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

UNBEKANNTER ANHANG

UNBEKANNTER ANHANG

Mask Width (Pixel)

Int32

Set the width of the mask used for the deviation calculation. Larger values ​​cover a wider area, helping to detect larger or more significant deviations.

Width: 5px
Height: 5px

UNBEKANNTER ANHANG

Width: 200px
Height: 200px

image-20250903-055627.png

Reduce Domain To Shape

Limits the image area to a shape without cropping – outside pixels become black, coordinates are preserved.

Flow

Parameter set

Parameter

Type

Description

Value range

Effect Min

Effect Max

Image

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

UNBEKANNTER ANHANG

UNBEKANNTER ANHANG

Mask Width (Pixel)

Int32

Set the width of the mask used for the deviation calculation. Larger values ​​cover a wider area, helping to detect larger or more significant deviations.

Width: 5px
Height: 5px

UNBEKANNTER ANHANG

Width: 200px
Height: 200px

image-20250903-055627.png

Mean

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

Flow

Parameter set

Parameter

Type

Description

Value range

Effect Min

Effect Max

Image

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

UNBEKANNTER ANHANG

UNBEKANNTER ANHANG

Mask Width (Pixel)

Int32

Set the width of the mask used for the deviation calculation. Larger values ​​cover a wider area, helping to detect larger or more significant deviations.

Width: 5px
Height: 5px

UNBEKANNTER ANHANG

Width: 200px
Height: 200px

image-20250903-055627.png

Standard Deviation

Calculates the standard deviation of pixel values ​​– shows how much brightness or color scatters or varies in the image.

Flow

Parameter set

Parameter

Type

Description

Value range

Effect Min

Effect Max

Image

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

UNBEKANNTER ANHANG

UNBEKANNTER ANHANG

Mask Width (Pixel)

Int32

Set the width of the mask used for the deviation calculation. Larger values ​​cover a wider area, helping to detect larger or more significant deviations.

Width: 5px
Height: 5px

UNBEKANNTER ANHANG

Width: 200px
Height: 200px

image-20250903-055627.png

Minimum

Calculates the standard deviation of pixel values ​​– shows how much brightness or color scatters or varies in the image.

Flow

Parameter set

Parameter

Type

Description

Value range

Effect Min

Effect Max

Image

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

UNBEKANNTER ANHANG

UNBEKANNTER ANHANG

Mask Width (Pixel)

Int32

Set the width of the mask used for the deviation calculation. Larger values ​​cover a wider area, helping to detect larger or more significant deviations.

Width: 5px
Height: 5px

UNBEKANNTER ANHANG

Width: 200px
Height: 200px

image-20250903-055627.png

Maximum

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

Flow

Parameter set

Parameter

Type

Description

Value range

Effect Min

Effect Max

Image

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

UNBEKANNTER ANHANG

UNBEKANNTER ANHANG

Mask Width (Pixel)

Int32

Set the width of the mask used for the deviation calculation. Larger values ​​cover a wider area, helping to detect larger or more significant deviations.

Width: 5px
Height: 5px

UNBEKANNTER ANHANG

Width: 200px
Height: 200px

image-20250903-055627.png

Plot Text

Draws a text at a defined position in the image – non-displayable characters are replaced by question marks.

Flow

Parameter set

Parameter

Type

Description

Value range

Effect Min

Effect Max

Image

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

UNBEKANNTER ANHANG

UNBEKANNTER ANHANG

Mask Width (Pixel)

Int32

Set the width of the mask used for the deviation calculation. Larger values ​​cover a wider area, helping to detect larger or more significant deviations.

Width: 5px
Height: 5px

UNBEKANNTER ANHANG

Width: 200px
Height: 200px

image-20250903-055627.png

Get Image Meta Information

Returns metadata for the input image – determines image type, width and height.

Flow

Parameter set

Parameter

Type

Description

Value range

Effect Min

Effect Max

Image

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

UNBEKANNTER ANHANG

UNBEKANNTER ANHANG

Mask Width (Pixel)

Int32

Set the width of the mask used for the deviation calculation. Larger values ​​cover a wider area, helping to detect larger or more significant deviations.

Width: 5px
Height: 5px

UNBEKANNTER ANHANG

Width: 200px
Height: 200px

image-20250903-055627.png

Split Image (RGB)

Determines the RGB color channels of an image - returns one value for each channel.

Flow

Parameter set

Parameter

Type

Description

Value range

Effect Min

Effect Max

Image

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

UNBEKANNTER ANHANG

UNBEKANNTER ANHANG

Mask Width (Pixel)

Int32

Set the width of the mask used for the deviation calculation. Larger values ​​cover a wider area, helping to detect larger or more significant deviations.

Width: 5px
Height: 5px

UNBEKANNTER ANHANG

Width: 200px
Height: 200px

image-20250903-055627.png

Split Image (HSV)

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

Flow

Parameter set

Parameter

Type

Description

Value range

Effect Min

Effect Max

Image

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

UNBEKANNTER ANHANG

UNBEKANNTER ANHANG

Mask Width (Pixel)

Int32

Set the width of the mask used for the deviation calculation. Larger values ​​cover a wider area, helping to detect larger or more significant deviations.

Width: 5px
Height: 5px

UNBEKANNTER ANHANG

Width: 200px
Height: 200px

image-20250903-055627.png

Combine Image

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

Flow

Parameter set

Parameter

Type

Description

Value range

Effect Min

Effect Max

Image

Image

A grayscale image is required. You can use the "To Grayscale (Image)" node.

UNBEKANNTER ANHANG

UNBEKANNTER ANHANG

Mask Width (Pixel)

Int32

Set the width of the mask used for the deviation calculation. Larger values ​​cover a wider area, helping to detect larger or more significant deviations.

Width: 5px
Height: 5px

UNBEKANNTER ANHANG

Width: 200px
Height: 200px

image-20250903-055627.png

Calculate Histogram

Calculates the histogram of an image. Supports grayscale (mono), RGB, and HSV channels. Optionally, a mask can be provided to calculate the histogram only for selected areas.

Flow

Screenshot 2025-10-24 135914.png

Parameter set

Attribute

Type

Description

Value range

Effect

Image

Image

Input image, on which the histogram calculation is performed.

image-20250903-055420.png

Analysis Type

HistogramAnalysisType

Histogram channel mode to use:

  • Mono: Calculates a grayscale histogram

Mono

Attribute

Value

Min

65

Max

255

Mean

229

Median

255

Std. Dev.

54

Pixels

268324

Histogram channel mode to use:

  • RGB: Calculates histograms for the blue, green, and red channels

RGB

Attribute

Value (RGB)

Min

18, 35, 137

Max

255, 255, 255

Mean

210, 225, 245

Median

255, 255, 255

Std. Dev.

88, 65, 23

Pixels

268324

Histogram channel mode to use:

  • HSV: Calculates histograms for the Hue (H), Saturation (S), and Value (V) channels.

HSV

Attribute

Value (HSV)

Min

137, 0, 0

Max

255, 224, 179

Mean

245, 43, 4

Median

255, 0, 0

Std. Dev.

23, 85, 14

Pixels

268324

Mask

Region

Optional image area to include in the histogram. Only pixels within this area are considered. If set to zero, the histogram is calculated across the entire image.

Return

Image Histogram

Returns the calculation results as a structure. A detailed breakdown can be performed using the Break Image Histogram function.

The histogram data can be further processed using the Break Histogram node. This node decomposes the structure into its individual components. Depending on the previously selected Analysis Type, the results of the histogram calculation can be read via the Gray outputs if Mono was previously selected, or First Channel, Second Channel, and Third Channel if RGB or HSV was used.

If the respective channels are further broken down using Break Image Histogram Channel, one obtains, on the one hand, an array of tuples consisting of the value and its frequency, and on the other hand, the extreme values ​​already listed above in the table.

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