Split Image

This function block separates an RGB image into three single-channel grayscale images so you can process each color channel independently.

📥 Inputs

• ImageRGB An RGB image to split into individual channels. (socket: input)

📤 Outputs

• Red Channel Grayscale image showing the red channel. (socket: output)

• Blue Channel Grayscale image showing the blue channel. (socket: output)

• Green Channel Grayscale image showing the green channel. (socket: output)

🕹️ Controls

• This block has no interactive controls. It runs automatically when an image is provided.

🎨 Features

• Quick channel splitting for per-channel analysis or preprocessing.

• Outputs are standard grayscale images that work with all blocks expecting single-channel inputs.

• Lightweight and fast — suitable for real-time pipelines.

📝 Usage Instructions

1. Provide an RGB image to the ImageRGB input socket.

2. The block produces three grayscale outputs: Red Channel, Blue Channel, and Green Channel.

3. Connect any of these outputs to downstream blocks that accept grayscale images.

📊 Evaluation

When executed, the function block outputs each color channel as a separate grayscale image, ready for independent processing.

💡 Tips and Tricks

• To preview results quickly, connect any channel output to the Show Image block.

• After processing channels separately (for example with Blur, Image Threshold, or Adjust Colors), recombine them using the Merge Channels block to restore an RGB image.

• Use the Color Density Percentage block on individual channels to quantify channel dominance and guide threshold choices.

• If you need to isolate a specific color range, split channels first and then apply HSV Filter or RGB Mask on the appropriate channel for finer control.

• For color correction workflows, split channels, adjust each with Adjust Colors or Contrast Optimization, and then merge back with Merge Channels.

• Use Mean Value of Image on channel outputs to monitor brightness per channel (helpful for exposure and lighting checks).

🛠️ Troubleshooting

• If outputs look blank or identical, verify that the input provided to ImageRGB is a valid RGB image.

• If downstream blocks expect a 3-channel image, remember to use Merge Channels after per-channel processing.

• For noisy single-channel outputs, insert a Blur or Denoising block before further analysis.