What distance metric can I use for comparing images?

1. Which of the following distance metrics can be used for matching features from images?
2. What are the different distance measures in image?
3. Which distance metric is the most commonly used metric?

Which of the following distance metrics can be used for matching features from images?

3) Matching: Key points of images are matched by computing the similarity between the corresponding feature descriptors. Different distance metrics such as Euclidian, Cosine, Manhattan etc. are used to compute the similarity.

What are the different distance measures in image?

Distance Metrics

The Euclidean distance is the straight-line distance between two pixels. The city block distance metric measures the path between the pixels based on a 4-connected neighborhood. Pixels whose edges touch are 1 unit apart; pixels diagonally touching are 2 units apart.

Which distance metric is the most commonly used metric?

Euclidean distance is one of the most used distance metric.