Border Fill

The 'Border Region Size' property defines the thickness of the area along each edge of the image that will be considered for artifact removal. You can specify different values for each side using unit-aware strings (e.g., 10pt, 0.25in, 0.5in).

Adjust this property to match the typical size of edge artifacts in your images. Setting a larger value will remove more of the edge, while a smaller value will restrict processing to a narrower band.

> Example: To process a 10 pixel border on all sides, set this property to 10px.

Can be one of the following values:

Choose the method that best matches the type and severity of edge artifacts in your images. Use diagnostic output to review the effect of your selection.

> Tip: Use 'Exclusive' to avoid removing content that touches the exclusion zone, or 'Trim' for > aggressive cleanup of all edge pixels.

The 'Maximum Inset' property defines the maximum distance from each edge that will be considered for artifact removal. This allows you to precisely control which edge areas are affected by the command.

Specify the value using unit-aware strings (e.g., 2pt, 5px). Use the "Zoning" diagnostic image to visualize the effect of this setting (shown in green).

Review the "Zoning" diagnostic image to see the resulting region overlaid on the image in green .

> Example: To restrict border fill to within 5 pixels of the edge, set this property to 5px.

Can be one of the following types:

The 'Dropout Method' property determines the technique used to remove or replace regions of the image identified by the feature mask. This allows you to control the visual result of the dropout operation, depending on your processing goals.

Common dropout methods include:

• Filling masked regions with a solid color (such as white or the detected background color).
• Replacing masked regions with interpolated content from surrounding pixels.
• Applying custom fill logic as defined by the selected Dropout Method.

Choosing the appropriate dropout method is important for maintaining the readability and appearance of the processed image. For example, filling with white may be suitable for removing background noise, while interpolation may be preferred when removing lines or halftones from text regions.

Example: To remove halftone patterns and fill the resulting regions with the detected background color, select the 'Background Fill' option from the 'Dropout Method' dropdown.

Review the diagnostic images generated in diagnostic mode to verify that the selected method produces the desired effect on your sample images.

The 'Binarization Settings' property determines the thresholding method and parameters used to create the binarized image that serves as the basis for feature detection in Binary Dropout commands.

Binarization is a critical preprocessing step: it transforms the input image into an 8-bit black and white version, making features such as barcodes, halftones, or lines more distinct and easier to detect.

Configuration Guidance

• Select the thresholding method using the 'Method' property within 'Binarization Settings'.
• Adjust additional parameters such as threshold value, window size, kernel type, and adjustment as needed for your document type.
• For most standard documents, 'Auto' or 'Adaptive' methods provide the best results.
• For documents with variable backgrounds or lighting, use 'Adaptive' or 'Dynamic' and tune the window size and kernel type.

Notes

• The quality of the binarized image directly affects the accuracy of feature detection and dropout.
• Review the diagnostic output to ensure that the features you wish to remove are clearly visible in the binarized image.

The 'Command Type Name' property shows the user-friendly name of the IP Command as it appears in the Grooper UI. This helps users identify which command is being configured or executed, especially when working with IP Profiles containing multiple commands.

This property is read-only and is automatically set based on the command's type.

The 'Supported Pixel Formats' property lists the image pixel formats that the IP Command can process. If an image does not match one of these formats, the command will be skipped for that image.

• By default, all pixel formats are supported unless a derived command restricts this list.
• Example formats include Pixel8bppGrayscale, Pixel24bppBgr, and Pixel1bppIndexed.

Use this property to verify compatibility when building IP Profiles or troubleshooting why a command did not execute.