This project, implemented in C++ using OpenCV, serves as a learning exercise in image analysis and object recognition. The focus is on understanding concepts rather than optimization.
- Image Binarization: Converts grayscale images to binary format using simple thresholding.
- Object Indexing: Labels each object in the binary images with a unique identifier.
- Feature Computation:
- Moments: Statistical measures related to shape and pixel intensity.
- Mass Moments: Quantifies mass distribution within an object.
- Circumference: Measures the object's perimeter.
- Area: Computes the object's area.
- Object Classification: Classifies objects into groups based on computed features.
