2D Filter

This function block applies a selected 2D filtering operation to an image, which can enhance features, detect edges, or apply special effects.

📥 Inputs

Image Any This input accepts any image data, which will be processed using the selected filter.

📤 Outputs

Image Gray The output provides the filtered image in grayscale format.

🕹️ Controls

Filter Type A dropdown menu that allows you to select from different pre-defined filtering methods.

🎨 Features

Multiple Filtering Options The function block includes various kernel filters such as Emboss, Contour, Sharpen, and different edge detection methods (Sobel, Laplacian).

Dynamic Processing The block dynamically processes images based on the selected filter by applying it directly to the input image.

📝 Usage Instructions

1. Input Image: Connect any image source to the input socket.

2. Select Filter: Choose a filter from the Filter Type dropdown to apply it to the image.

3. Evaluate: Run the block to process the image with the selected filter.

📊 Evaluation

When executed, this function block processes the input image and applies the selected filter, returning the filtered grayscale image.

💡 Tips and Tricks

Edge Detection

To better visualize edges in dynamic scenes, try using various edge detection filters like Sobel or Laplacian sequentially for comparison.

Combining Filters

You can experiment with output images from this function block as inputs to other processing blocks such as Image Threshold or Image Adaptive Threshold to refine the results further.

Overlaying Filters

For advanced manipulation, use multiple instances of this function block with different filters and combine the outputs using the Add Images block to enhance particular features of an image.

🛠️ Troubleshooting

No Image Output

If the output image does not render, ensure that the input image is valid and in the appropriate format. Check connections to ensure the input is being correctly provided.

Filter Not Applying

If the selected filter is not providing the expected results, try adjusting the input image or experiment with a different filter type. Some filters may require specific image characteristics to perform optimally.