Connected component labeling example

1. What is the need of connected component label algorithm?
2. What is CC in image processing?
3. What is connected components in image?
4. How do you find the connected component in Python?

What is the need of connected component label algorithm?

Connected-component labeling is used in computer vision to detect connected regions in binary digital images, although color images and data with higher dimensionality can also be processed.

What is CC in image processing?

Connected components labeling scans an image and groups its pixels into components based on pixel connectivity, i.e. all pixels in a connected component share similar pixel intensity values and are in some way connected with each other.

What is connected components in image?

A connected component is a set of connected pixels that share a specific property, V. Two pixels, p and q, are connected if there is a path from p to q of pixels with property V. A path is an ordered sequence of pixels such that any two adjacent pixels in the sequence are neighbors.

How do you find the connected component in Python?

A method named 'connected_components' is defined, that helps determine the nodes that are connected to each other. An instance of the class is created, and the methods are called on it. The node are displayed on the console. The connected components are displayed as output on the console.