CODEWITHSUNDEEP
image-processingstatisticscomputer-visioninvariants
Omid
Omid

Reputation: 31

meaning of Hu seven invariant moments in object recognition

My question is about the meaning of Hu's seven invariant moments.

As far as I know, some moments have a meaning; i.e. the zeroth order refers to the area of the image. Also as stated in http://mathworld.wolfram.com/topics/Moments.html a lot of features can be extracted from different order of moments. But the question is what features are extracted by Hu moments? I know that the key point of his work is that these features are invariant to the RTS (rotation, translation, and scale). But my question is what are these features describing? What is the relationship between these features and the object in the image?

Thanks for your help.

Upvotes: 3

Views: 5589

Answers (1)

Alceu Costa
Alceu Costa

Reputation: 9899

The Hu moments, proposed in 1962 in the article “Visual pattern recognition by moment invariants”, have no direct correspondence to physical aspects of the shape from which they are extracted. Rather, they were mathematically formulated to be invariant under translation, scale and rotation.

Upvotes: 4

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