A Small Code Implementation for Connected Component Labeling Using Run-Length Algorithm

In the following text, I will present a code snippet I developed for connected component labeling using a run-length algorithm. This algorithm is particularly suitable for processing binary images in image analysis tasks, as it helps identify interconnected pixels and label them as belonging to the same object. The implementation begins by scanning all pixels in the image to locate the first unmarked pixel. Starting from this pixel, the algorithm traverses along its connected path to cover the entire region, assigning the same label to all visited pixels. Key steps include initializing a label counter, checking pixel neighborhoods (typically 4-connected or 8-connected), and using a stack or queue for efficient traversal. If unmarked pixels remain after processing a region, the procedure repeats until all pixels are labeled. Although straightforward, this algorithm is highly practical and aids in understanding and manipulating image data effectively.