Vatsalya Chaubey vatch123

Sunkit-Image

This project developed several image processing algorithms and manipulation routines for sunkit-image, an affiliated Python package of the Sunpy Project. The rigorous analysis of solar images is of paramount importance to the Heliophysics community as this can reveal more information on solar features and events, which in turn can affect the Earth. This project brought selected solar image processing algorithms under the umbrella of a new library.

GSOC 2019: Project Goals

There were four major goals as listed on the OpenAstronomy website.
These included:

Implement the Normalizing Radial Gradient Filter
Port the Multi-scale Gaussian Normalization
Implement the OCCULT-2 algorithm for coronal loop tracing

	import math
	import os
	import random
	import PIL
	import matplotlib.pyplot as plt
	import numpy as np
	import torch
	import torch.nn.functional as F
	from torch.utils.data import Dataset, DataLoader
	from accelerate import Accelerator

	import numpy as np
	import sunpy.io
	import matplotlib.pyplot as plt
	import sunkit_image.enhance as enhance

	aia = sunpy.io.fits.read("http://www.lmsal.com/~aschwand/software/tracing/EUVIA_20070430.fits")

	# plt.imshow(aia[0].data, cmap='Reds_r')

	# plt.show()