Computing D2 Size Between Hu's Seven Moments in Images

In image matching and retrieval applications, Hu's seven invariant moments serve as a widely adopted method for feature description. These moments effectively characterize image features and play a critical role in image processing operations. This implementation focuses on computing the D2 distance metric between Hu's seven moments across different images, demonstrating their practical application through measurable comparisons. The code structure includes moment normalization and distance calculation functions, typically involving central moment computation followed by Hu's invariant moment derivation using logarithmic transformations. Beyond this specific implementation, Hu moments find extensive applications in object recognition, image comparison, and classification tasks - all crucial components in computer vision systems. Therefore, for professionals seeking deeper insights into image processing and computer vision methodologies, understanding Hu moments remains an essential foundational element.