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Detect and highlight straight lines in images using Hough Transform with ImageMagick for AI artists.
The ImageMagick Hough Lines node is designed to detect and highlight straight lines within an image using the Hough Transform technique. This method is particularly useful in image processing for identifying the presence and orientation of lines, which can be beneficial for various applications such as edge detection, shape analysis, and computer vision tasks. By transforming the image into a parameter space, the Hough Transform can efficiently identify lines even in the presence of noise or partial occlusions. This node leverages the powerful capabilities of ImageMagick to perform this transformation, making it a valuable tool for AI artists looking to enhance their images with precise line detection.
This parameter represents the input image on which the Hough Lines detection will be performed. The image should be provided in a compatible format that the node can process.
This parameter specifies the width of the output image. It accepts integer values with a minimum of 1 and a maximum of 1024, with a default value of 512. Adjusting the width can impact the resolution and detail of the detected lines.
This parameter specifies the height of the output image. Similar to the width parameter, it accepts integer values ranging from 1 to 1024, with a default value of 512. The height setting influences the vertical resolution of the line detection.
This parameter sets the threshold for line detection. It accepts integer values from 0 to 1024, with a default value of 40. The threshold determines the minimum number of intersections in the Hough space required to detect a line. Lower values may detect more lines, including weaker ones, while higher values will focus on stronger, more prominent lines.
The output parameter is the processed image with the detected lines highlighted. This image will be in the same format as the input image, but with the addition of the detected lines, making it easier to visualize and analyze the line structures within the original image.
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