Mean Value of Image

This function block computes the average pixel intensity of an incoming image and displays the result as a number between 0 and 255. It is useful for quick quality checks (brightness), preprocessing decisions, and simple monitoring.

📥 Inputs

• Image Any The image whose mean pixel value will be computed.

📤 Outputs

• Mean Value The calculated mean pixel intensity (rounded), range 0–255.

🕹️ Controls

• Mean value A small on-block display that shows the current computed mean. This block has no other user-editable controls.

🎨 Features

• Fast computation of the average pixel intensity for any image type.

• Live visual feedback via the on-block display.

• Works with color or grayscale images by averaging all channels/pixels into a single scalar value.

📝 Usage Instructions

1. Connect any image-producing block to the Image Any input.

2. Run the scenario. The block will compute the average intensity and update the Mean value display.

3. Read the numeric result from the Mean Value output for downstream logic or logging.

📊 Evaluation

When executed, the block calculates the mean across all pixels (and channels) of the provided image and returns a numeric value (rounded) that represents overall brightness/average intensity.

💡 Tips and Tricks

• Use Blur before this block to reduce the effect of small noisy fluctuations on the mean.

• Use Image Threshold or Apply Mask to compute mean only over foreground regions instead of the entire image.

• Use Image ROI or Image ROI Select to restrict the calculation to a region of interest (for localized brightness checks).

• Reduce processing cost on large images by adding Image Resizer prior to this block.

• Use Show Image alongside this block to visually confirm which frame the mean value refers to.

• Combine with Image Memory to freeze a sample image and repeatedly analyze the same frame for stable comparisons.

🛠️ Troubleshooting

• If the Mean Value is unexpected, verify the input image using Show Image to confirm correct source and content.

• If no value appears, ensure the image-producing block is actively providing valid image data. The block expects an image-type input.

• For inconsistent readings, try smoothing with Blur or cropping the area of interest with Image ROI Select before computing the mean.