Color-Based Object Recognition

Objective:

Recognize and segment objects based on their color.

Techniques:

Color space conversion (e.g., RGB to HSV), thresholding, morphological operations.

Steps:

1. Convert images to a suitable color space (e.g., HSV).
2. Apply color thresholding to segment objects.
3. Use morphological operations to refine the segmentation.
4. Display and label the segmented objects.

🔧 Development

The files of the assignment were created with MATLAB R2013b.