Shape Removal

The 'Detection Settings' property defines how shapes are detected and matched in the input image. This includes which sample images are used as templates, the confidence threshold for matching, and other advanced options.

• Configure this property to specify which shapes to detect and how strictly to match them.
• Use the Shape Detection command's diagnostics to tune detection for your specific document types.
• Typical use cases include removing company logos, notary seals, or other graphical marks.

Can be one of the following types:

The 'Binarization' property controls how the input image is converted to black and white for the purposes of shape detection and mask generation. Proper binarization is critical for accurate shape matching and removal.

• Adjust thresholding and method (e.g., Auto, Adaptive) to ensure the shape to be removed is clearly visible.
• Use the Binarized diagnostic image to verify that the target shape stands out from the background.
• If shapes are not being detected, try a different binarization method or adjust the threshold.

The 'Dilation Factor' property specifies how much the detected shape region is expanded (dilated) before extracting pixels for to the dropout mask. Dilation helps account for small variations between the template and the input image, ensuring that the entire shape is removed even if it is slightly larger or misaligned.

• Increase to ensure all pixels of the detected shape are included in the mask, especially if the template is smaller than the actual shape in the document.
• Decrease to avoid removing nearby content or expanding the mask too far.

The Shape Mask diagnostic image shows the effect of dilation. Tune this property to balance complete removal of the shape with preservation of surrounding content.

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 '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.