mask_creation

This module provides functions to automatically generate camera masks for all-sky imagers.

Functions

adjust_gamma(image[, gamma])

Apply gamma correction to an image.

compute_mask(avg_img)

Create an image mask based on the input image. Input image should be a daily/longterm average image based

aggregate_images(img_list[, gray_scale, equalization, ...])

Process a list of images by applying optional grayscale conversion, histogram equalization,

Module Contents

mask_creation.adjust_gamma(image, gamma=1.0)

Apply gamma correction to an image.

mask_creation.compute_mask(avg_img)

Create an image mask based on the input image. Input image should be a daily/longterm average image based on equalized histogram to enhance contrast

mask_creation.aggregate_images(img_list, gray_scale=False, equalization=False, blur=False)

Process a list of images by applying optional grayscale conversion, histogram equalization, and blurring. Computes the average and standard deviation of the processed images.

Parameters:

  • img_list (list of numpy.ndarray) – List of input images as NumPy arrays.

  • gray_scale (bool, optional) – Whether to convert images to grayscale (default is False).

  • equalization (bool, optional) – Whether to apply histogram equalization to enhance contrast (default is False).

  • blur (bool, optional) – Whether to apply a blurring filter to reduce noise (default is False).

Returns:

A dictionary containing processed images, their average, and standard deviation.

Return type:

dict