An empirical comparison of segmentation algorithms on auroral images (non-reviewed)

Image segmentation is an essential step in extracting information from raw images for interpretation. Although many segmentation algorithms have been proposed in the literature, image segmentation is still an elusive goal in image processing. In this study, we compared and tested four different segmentation techniques for improvement on auroral image segmentation. To extract some useful information from auroral images, Gabor wavelet transform was used to perform the transformations.