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The goal of the algorithm is to find contiguous structures of pixels in an image given that:

  1. each pixel is brighther than a given threshold and
  2. the contiguous structure is more extended than a given area.

This algorithm can be used to detect substructures in residual images as follows

from finder import ClumpFinder

cf = ClumpFinder(
    image, mask, mask_bg, mask_bulge
)

cf.detect(model, flux_threshold, surface_threshold)

For more details, please refer to the documentation and check the examples directory. Examples are provided as marimo notebooksbut can also be run as python scripts.

About

A lightweight segmentation tool used to detect clumps and substructures in the residuals of high-resolution images of galaxies.

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