FIRST proto-entry of the blog

Author: agarnung

_posts/2023-08-05-how-to-configure-remark42-for-comments.md

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+---
+title: Shape Normalization 
+tags: [image processing]
+style: light
+color: secondary
+description: A technique to normalize shapes for robustness against varying geometry in identification tasks.
+---
+
+## Shape Normalization
+
+The application of certain transformations (e.g., affine) to a binary shape (e.g., contour) can help normalize it against perspective changes in such a way that its main axes align with the coordinates, achieving an effect similar to the T-Net in PointNet. 
+
+This is a way to normalize the shape of objects to make them robust against varying geometry in tasks such as identification.
+
+The basic idea is that after normalization, the object will have a unit scatter matrix multiplied by a constant, which indicates that the shape is as compact as possible.
+
+### Reference
+
+*Image Processing Principles and Applications*, Tinku Acharya & Ajoy K. Ray, p. 200.
+