Color Space

This function block allows you to change the color space of an input image. By selecting different conversion types, you can transform an image between various color formats, which can be useful for image processing tasks.

📥 Inputs

Image Any The input image that you want to transform into a different color space.

📤 Outputs

Image Any The output image is returned after applying the selected color space transformation.

🕹️ Controls

Conversion Type A dropdown menu that allows you to select the desired color space transformation. Options include:

• BGR2GRAY: Convert from BGR to Grayscale.

• BGR2RGB: Convert from BGR to RGB.

• BGR2RGBA: Convert from BGR to RGBA.

• BGR2BGRA: Convert from BGR to BGRA.

• BGR2HSV: Convert from BGR to HSV (Hue, Saturation, Value).

• BGR2LAB: Convert from BGR to CIELAB color space.

• BGR2LUV: Convert from BGR to CIELUV color space.

• BGR2YcrCb: Convert from BGR to YCrCb color space.

• GRAY2BGR: Convert Grayscale image to BGR.

• GRAY2RGB: Convert Grayscale image to RGB.

• GRAY2BGRA: Convert Grayscale image to BGRA.

• GRAY2RGBA: Convert Grayscale image to RGBA.

• Lab2BGR: Convert from LAB to BGR.

🎨 Features

Versatile Color Transformations Allows you to switch between several color spaces, enabling easier manipulation or analysis of images in various formats.

User-Friendly Interface The dropdown menu makes it easy to select the desired conversion type without needing to remember specific parameters.

📝 Usage Instructions

1. Connect Input Image: Link the input image you wish to transform into the Image Any input.

2. Select Conversion Type: Choose the desired conversion type from the Conversion Type dropdown menu.

3. Evaluate: Run the block to see the transformed image as per the selected color space.

📊 Evaluation

When executed, this function block processes the input image according to the selected color space transformation and produces the resulting image.

💡 Tips and Tricks

Experiment with Different Color Spaces

Different color spaces are useful for various applications, such as feature extraction, edge detection, or simply for aesthetic effects. Experiment with options like HSV for better segmentation or LAB for color correction.

Using in Combination with Other Blocks

Combine this block with Image Threshold or Image Adaptive Threshold for better visibility of certain features after color space conversion.

🛠️ Troubleshooting

Empty Output Image

If the output image appears empty or is not as expected, check if the connected input image is valid and not None. Ensure the input image is in a compatible format for the selected color space conversion.

Color Misrepresentation

Ensure you're using the correct color space for your application. Converting from BGR to RGB, for example, only changes how colors are displayed without altering the image data; thus, understanding the context of your image data is crucial.