Locate

Edge Intersection

Determines the intersection point of two line segments within an image.

Flow

Parameter set

Parameter	Type	Description
Image 1	Image	A grayscale or color image is possible.
Segment 1	Segment 2D	The first segment.
Segment 2	Segment 2D	The second segment.
Draw Result	Boolean	Draw the result in the image.
Color	Color	Adjusts the color of the drawn line. Available colors: Beige, Black, Blue, Green, GreenYellow, Red, White, and Yellow.
Line Type	LineType	Adjusts the calculation of the line type: Link8 – The standard option for most use cases. Offers good speed and connection, but diagonal lines can appear slightly jagged. AntiAlias – Smooths edges for softer lines. Slightly slower than Link8, but recommended for high-quality rendering. Link4 – Connects pixels only horizontally and vertically. Results in a rather blocky rendering and is rarely used for standard drawings.
Thickness	Int32	Adjusts the line thickness in pixels.
Return	Intersection	A point representing the intersection of the two segments, provided they intersect within the image boundaries.
Return	Image	Result image.

Find Edges

This is the process of edge detection in an image. Edges represent significant transitions in intensity or color and often correspond to object boundaries or features.

Flow

Parameter set

Parameter	Type	Description	Value range
Roi	Rectangle	For this input, an annotation (rectangle) can be added to the workflow, or the "Make Rectangle" node can be used for this purpose.
Image	Image	A grayscale or color image is possible.
Polarity	EdgePolarity	Refers to the distinction between positive and negative gradients, edges, or binary states in image processing.	Possible values: BlackToWhite WhiteToBlack
Kernel Size	Int32	A higher value increases the kernel size for gradient calculations over larger areas. The size of the extended Sobel kernel must be 1, 3, 5, or 7.	Possible values: 1 3 5 7
Contrast (Acceptance Threshold)	Int32	Refers to the difference in intensity between light and dark areas in the image.	Possible values: 0 - 255
Angle Range	Int32	Refers to the angular range as used in various image processing tasks, e.g. edge detection.	Possible values: 0 - 360
Edges	Segment 2D <Array>	Refers to a two-dimensional line segment in the geometric sense, i.e., a part of a straight line that is bounded by two endpoints in 2D space.
Scores	Single <Array>	Refers to how strong or pronounced an edge is at a particular pixel.

Find Circle

Detects a circle within a region. Smallest, Fitting, Mean, or Largest Circle can be selected.

Flow

Parameter set

Parameter	Type	Description
Region	8-Bit-Single channel image	Nodes such as "Binary Threshold", "Adaptive Threshold", "Canny" or similar can be used to generate a binary image.
Mode	CircleSelectionMode	Defines the selection method for the detected circle. Available options are FittingCircle, LargestCircle, SmallestCircle, and MeanCircle.
Return	Circle	Refers to the circle found using center points and radius in 2D space.
Return	Boolean	Indicates whether a circle was successfully found.

Mode	Description	Example
Largest Circle	The largest circle that lies completely inside an object without intersecting its edge.
Smallest Circle	The smallest possible circle that completely encloses all points/contours.
Fitting Circle	A circle that best fits the shape statistically (similar to a regression curve). It uses boundary points and is not necessarily bounded inside or outside.
Mean Circle	The radius is calculated as the average of several measured radii (e.g., many edge points → average distance to the center). This is useful for noisy or irregular shapes.