Histogram On Curve

This function block analyzes pixel values along a specified curve in a grayscale or binary image. It defines the curve based on pixel intensity along the specified line and provides insights into the pixel distribution across that curve.

📥 Inputs

Input Image (Binary Image) This input accepts a binary or grayscale image that will be analyzed.

Line Location (pixel) Specifies the pixel position of the line where the analysis will be performed.

Line Detection Threshold A threshold to determine which pixel values are considered significant along the line.

Pixel Value Threshold A threshold that event filters or highlights specific pixel values along the detected curve.

📤 Outputs

Output Image The modified image that displays the analyzed curve and additional graphical elements.

Plot Image An image that visualizes the pixel values along the detected line.

Curve Image This output contains the region with the detected curve represented graphically.

Line Angle The angle of the detected line with respect to the image axes.

Is Line Valid? A boolean output indicating whether the detected line is valid based on the analysis.

🕹️ Controls

Relation A dropdown control to select whether the analysis will be performed in the vertical or horizontal direction.

🎨 Features

Curve Detection The block detects curves by analyzing pixel intensities and identifying significant peaks.

Visualization Provides visual outputs that show key measurements, detected curves, and plots of pixel values, aiding in analysis.

Validity Check The block assesses if the detected line is valid according to the defined criteria.

📝 Usage Instructions

1. Input Image: Connect a binary or grayscale image to the Input Image (Binary Image).

2. Line Position: Specify the location of the line using the Line Location (pixel) input.

3. Set Thresholds: Enter appropriate values for the Line Detection Threshold and the ``Pixel Value Threshold.

4. Direction Selection: Use the Relation dropdown to choose whether to check horizontally or vertically.

5. Evaluate: Run the block to conduct the analysis and obtain results including visual representations and validation status.

📊 Evaluation

The function block processes the input image and returns visualizations and numerical outputs based on detected curves along specified lines.

💡 Tips and Tricks

Preprocessing the Input Image

Improve results by preprocessing the input image with the Image Threshold function block to enhance key pixel intensities.

Using Pixel Value Threshold Effectively

Examine different values for the Pixel Value Threshold to get the best detection outcome. Higher values may miss small peaks, while lower values may include noise.

Checking for Validity

After performing the analysis, check the Is Line Valid? output to ensure your detected line meets necessary conditions for accuracy.

Analyzing Multiple Locations

For complex images, analyze multiple line locations by running the block with different values to gather more insights.

🛠️ Troubleshooting

Invalid Line Location

If there is an error regarding the line location, ensure that the specified line position does not exceed the boundaries of the image dimensions.

No Valid Line Detected

If the result indicates that the detected line is not valid, consider preprocessing the image and adjusting threshold values for better results.