# Std. of Image

This function block calculates the standard deviation of an input image, providing insights into the image's contrast and variation in intensity.

## 📥 Inputs <a href="#inputs" id="inputs"></a>

`Image Any` An image from which the standard deviation will be calculated.

## 📤 Outputs <a href="#outputs" id="outputs"></a>

`Standard Deviation` A numerical output representing the standard deviation value of pixel intensities in the input image.

## 🕹️ Controls <a href="#controls" id="controls"></a>

`Std. Deviation:` A label that displays the calculated standard deviation of the input image in real time.

## 🎨 Features <a href="#features" id="features"></a>

`Simple Calculation` Quickly computes the standard deviation without requiring additional configuration or settings.

`Real-time Display` Updates the displayed value of the standard deviation dynamically when new image data is input.

## 📝 Usage Instructions <a href="#usage" id="usage"></a>

1. **Connect Input Image**: Link any image to the `Image Any` input socket.
2. **Evaluate Block**: Run the block to calculate and retrieve the standard deviation of the connected image.

## 📊 Evaluation <a href="#evaluation" id="evaluation"></a>

This function block will output the standard deviation of the pixel intensities in the input image, allowing for assessment of image quality and contrast.

## 💡 Tips and Tricks <a href="#tips-and-tricks" id="tips-and-tricks"></a>

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<summary>Understanding Standard Deviation</summary>

Higher standard deviation indicates a wider range of pixel intensities and more contrast in the image, while a lower value suggests a more uniform or flat image.

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<summary>Using with Other Analysis Blocks</summary>

Combine this block with others like `Histogram On Curve` for a more comprehensive analysis of the image's pixel intensity distribution or contrast.

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## 🛠️ Troubleshooting <a href="#troubleshooting" id="troubleshooting"></a>

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<summary>No Output Value</summary>

If no output value is displayed, ensure that the input image is properly connected and valid. You can use the `Debug Input` block to check the data flow.

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<summary>Unexpected Standard Deviation Value</summary>

If the output value seems incorrect, check if the input image is properly formatted and within the expected intensity range (0-255). Use the `Image Threshold` block for verification.

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