Shape Detector
This function block is designed to detect distinct shapes within a given input image. It provides a method to filter shapes based on various parameters, providing contours and area measurements for each detected shape.
📥 Inputs
Image
This input accepts any image data in which shapes need to be detected.
📤 Outputs
Filtered Image
An output image that shows the results of the shape detection process, including all detected contours.
Contoured Image
This output highlights the detected shapes on the input image, providing visual feedback.
Border Coordinates
The coordinates of the bounding rectangles around detected shapes, which can be used for further processing.
Center Positions
The positions of the centers of the detected shapes.
Areas
The area measurements of each detected shape, giving insight into the size of the shapes.
🕹️ Controls
Blur Coefficient
A slider that allows you to adjust the amount of median blur applied to the input image before detection. This helps to reduce noise that might interfere with shape detection.
Auto Threshold
A checkbox that enables the automatic calculation of the threshold values used for binary conversion of the image.
Threshold Range
A range slider to manually set the threshold values for shape detection when the auto threshold is not selected.
Clear Spots Parameter
A slider to set the size of the morphological kernel used for closing gaps between contours in the detected shapes.
🎨 Features
Shape Detection
The block can identify and detect distinct shapes based on filtered input images.
Flexible Configuration
Users can customize detection parameters such as blur amount, threshold values, and morphological features, resulting in tailored detection outcomes.
Visual Feedback
Contours and centers of the detected shapes are visualized, providing immediate feedback on the detection results.
📝 Usage Instructions
Connect Input: Link an image containing shapes to the
Image
input of the block.Set Blur Coefficient: Adjust the
Blur Coefficient
slider to control the amount of blur applied to reduce noise.Enable Auto Threshold (if desired): Check the
Auto Threshold
box to automatically calculate the threshold values, or leave it unchecked to set them manually using theThreshold Range
slider.Set Clear Spots Parameter: Adjust the
Clear Spots Parameter
to refine the morphological processing applied to the thresholded image.Run the Block: Evaluate the block to detect shapes and retrieve filtered images, contours, coordinates, and areas.
📊 Evaluation
When executed, this function block performs shape detection on the input image based on the specified parameters and outputs the filtered image, contoured results, coordinates, center positions, and areas of all detected shapes.
💡 Tips and Tricks
🛠️ Troubleshooting
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