Grab Cut Algorithm
This function block utilizes the Grab Cut algorithm to separate objects from the background of an image. It provides two modes for defining the region of interest (ROI) to operate on: using a rectangular area or a predefined mask.
📥 Inputs
Image Any
The input image that contains the object you want to separate from the background.
ROI
The region of interest defined as a rectangle for the algorithm to use in determining where the object is located.
Mask
A binary mask image that can be used to indicate known background and foreground areas if available.
📤 Outputs
Image Any
The output image with the background removed, leaving only the selected object(s) visible.
🕹️ Controls
Iterations
A slider to specify the number of iterations the Grab Cut algorithm should run to refine the segmentation results. Adjusting this will impact the processing time and accuracy of object separation.
🎨 Features
Two Modes of Operation
You can choose to segment objects using either a rectangular ROI or a predefined mask, allowing for flexibility depending on your needs.
Dynamic Iteration Adjustment
The number of iterations can be adjusted to balance between processing time and segmentation accuracy.
📝 Usage Instructions
Input Image: Connect the image you wish to process to the
Image Any
input.Define ROI: Provide the rectangular ROI to the
ROI
input if using the rectangle method.Provide Mask: If using a mask, provide a binary mask image to the
Mask
input.Set Iterations: Use the slider to set the number of iterations you want the algorithm to perform.
Evaluate: Run the block to execute the Grab Cut algorithm and output the segmented image.
📊 Evaluation
When executed, this function block performs the Grab Cut algorithm based on the provided inputs, outputting the modified image with the background removed.
💡 Tips and Tricks
🛠️ Troubleshooting
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