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Create image masks based on specified color for isolating and editing specific areas with precision.
The MaskFromColor+ node is designed to create a mask from an image based on a specified color. This node is particularly useful for isolating specific areas of an image that match a given color, allowing you to perform further operations on those areas. By specifying the red, green, and blue values of the target color, along with a threshold to account for slight variations, you can generate a precise mask that highlights regions of the image that fall within the defined color range. This functionality is essential for tasks such as color-based segmentation, object detection, and image editing, where you need to focus on specific color regions within an image.
The image
parameter is the input image from which the mask will be generated. This image should be in a format that the node can process, typically a tensor representing the image data.
The red
parameter specifies the red component of the target color. It ranges from 0 to 255, with a default value of 255. This value determines the intensity of the red color that the node will use to create the mask.
The green
parameter specifies the green component of the target color. It ranges from 0 to 255, with a default value of 255. This value determines the intensity of the green color that the node will use to create the mask.
The blue
parameter specifies the blue component of the target color. It ranges from 0 to 255, with a default value of 255. This value determines the intensity of the blue color that the node will use to create the mask.
The threshold
parameter defines the tolerance level for color matching. It ranges from 0 to 127, with a default value of 0. This value allows for slight variations in the target color, making the mask generation more flexible and accommodating minor differences in color shades.
The mask
parameter is the output mask generated by the node. This mask is a binary image where the regions matching the specified color within the given threshold are highlighted. The mask can be used for further image processing tasks, such as segmentation or selective editing.
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