Multiple$-$choice $(10$ points$)$

Which of the following statements accurately describe the concept of affinity in the context of graph cut methods for image segmentation?

A Affinity measures the similarity between pixels or nodes in a graph, influencing the decision on whether they should belong to the same segment.

B High affinity between nodes indicates a low probability of an edge existing between them, promoting their separation into different segments.

$$ C Affinity can be based on criteria such as color intensity, texture similarity, or spatial proximity between pixels.

$$ D Optimizing the graph cut involves maximizing the overall affinity within each segment while minimizing the affinity across different segments.