No abstract

In this paper, an efficient algorithm for segmenting celestial objects from astronomical images is proposed. The proper segmentation of astronomical objects like planets, comets, galaxies, asteroids etc. is a difficult task due to the presence of innumerous bright point sources in the frame, presence of noise, weak edges of celestial objects, low contrast etc. In order to overcome these bottlenecks, multiple preprocessing steps are performed on the actual image prior to segmenting the desired object(s). Level Set segmentation is the key technique of this proposed method. The result of the proposed algorithm on various celestial objects substantiates the effectiveness of the proposed method.