1. Implement a connected component labeling algorithm and apply it to the data.
2. Show your results by displaying the detected components/objects with different colors
3. If output contains a large number of components, apply a technique to reduce the number of components, e.g., filtering by component size, or erosion.
4. Implement the boundary following algorithm and apply it for the relevant regions/objects.
5. For each relevant region/object, compute the area, orientation, and circularity (Emin/Emax).
6. Identify and count the boundary pixels of each region, and compute compactness, the ratio of the area to the perimeter
7. Implement a skeleton finding algorithm. Apply it to the relevant regions/object