#README

Tools I have created or used to assist with my data analysis

Copy_Images.py

Inputs: Either an array of file names or a csv of file names
Function: Copy jpg images with given names to new directory

Denoise.py

Tool to take images and denoise them by non-local means denoising. Paper that describes this method can be found here. The CV2 tool description is found here.
Input: .jpg or many .jpg in a directory
Function: Denoises image by non local means method. Smooths noisy images.
Output: .jpg that has been denoised

Edge_Detection.py

Attempt at using edge detection to help with networks
Input: .jpg
Function:Takes image and finds edges of objects within
Output: plot of detected edges

FITS_Cut.py

William Waldron's Script to cutout sections of FITS files
Input: FITS image
Function: Takes dimension inputs and copies that area to a new FITS File

Grayscape.Conversion.py

Input: Images in a directory
Function: Takes images, converts them to grayscale and saves to a new location

Pixel_Count_inFits.py

Input: FITS image
Function: Within a dimensional range, it gets a signal and noise values for pixels

Rotate_Images.py

Input: jpg images in directory
Function: Takes images, rotates them, saves as "degree"_"file name" in new directory