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Generates color-based masks for image segmentation and editing, simplifying the process for AI artists.
The _mfc
node is designed to generate a mask based on specific color thresholds within an image. This node is particularly useful for AI artists who need to isolate or highlight certain areas of an image that match a specified color range. By adjusting the red, green, and blue color values along with a threshold, you can create a precise mask that identifies regions in the image that fall within the defined color boundaries. This can be beneficial for tasks such as color-based segmentation, selective editing, or enhancing specific parts of an image. The node simplifies the process of color-based masking, making it accessible even to those without a deep technical background.
The image
parameter is the input image that you want to process. This image will be analyzed to create the mask based on the specified color and threshold values. The image should be in a format that the node can process, typically a tensor representation of the image.
The red
parameter specifies the red color value to be used as part of the target color for masking. The value ranges from 0 to 255, with a default of 255. Adjusting this value will change the red component of the target color, affecting which parts of the image are included in the mask.
The green
parameter specifies the green color value to be used as part of the target color for masking. The value ranges from 0 to 255, with a default of 255. Adjusting this value will change the green component of the target color, affecting which parts of the image are included in the mask.
The blue
parameter specifies the blue color value to be used as part of the target color for masking. The value ranges from 0 to 255, with a default of 255. Adjusting this value will change the blue component of the target color, affecting which parts of the image are included in the mask.
The threshold
parameter defines the tolerance range for the color matching. The value ranges from 0 to 127, with a default of 0. A higher threshold allows for a broader range of colors to be included in the mask, while a lower threshold makes the mask more selective to the exact color specified by the red, green, and blue parameters.
The MASK
output is a binary mask that highlights the areas of the input image that match the specified color and threshold values. The mask is a tensor where pixels that fall within the defined color range are set to 1 (or white), and all other pixels are set to 0 (or black). This mask can be used for further image processing tasks, such as segmentation or selective editing.
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