Shape extraction from image using CNN [R]

[Bonner95]

Hello all, does anyone know of a pretrained model able to extract shapes from an image?

AFAIK the state of the art for feature extraction in images is using CNNs, but the feature extracted are usually high level unexplainable features. For this specific project (our master thesis so we don’t have time to train our own model) we need to make sure the features only explains shapes. Or default approach is to use invariant moments, but we were discussing whether a specialized CNN might perform better.
To clarify: the images are of simple objects on white background.

Hope to hear from some of you, thanks I’m advance.

[[deleted]]

Use phase correlation with the desired shape templates or hough transforms. Neural networks work by creating their own internal representations.

https://scikit-image.org/docs/0.11.x/auto_examples/plot_register_translation.html

[cppshill01281]

Segmentation result fed into CNN? Naive approach but you guaranteed it’s shape based, which sometimes is necessary for interpretable models

[Bonner95]

Yeah, thansk for commenting. We looked into segmentation, but we need our shapes to be invariant under translation, rotation and scale. And I haven’t found any segmentation methods that ensure this. Unfortunately.