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astronomical-images

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Using Kadane's Algorithm to find the brightest area in Astronomical images. Using concept of maximum contiguous subarray to find the area with highest sum and thus using opencv and finding the brightest area, applying on image and video.

  • Updated Dec 23, 2020
  • Jupyter Notebook

SDSS telescopes have captured over 40 TB worth of galaxy images and classification of these images is the first step towards obtaining a deeper understanding of physical processes within them, star formation, and the nature of the universe. Since we could not find an easily accessible dataset for galaxy classification, we compiled a dataset for …

  • Updated May 1, 2021
  • Python

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