Intelligent constellation detection using pattern recognition

The study of constellations and the mechanism for its identification has always been an captivating area in astronomy, from ancient methods like star charts, to modern techniques of computer vision. Along with continuous discoveries of new celestial objects on a regular basis, the study of constellations are getting equal attention in astronomical data analysis. In this paper, we present an intelligent constellation detection algorithm that identifies the constellation using star patterns in the given image and produces meta-data for it to the end user. That is, for a given a deep sky image, the system effectively detects the stars, produces the orientation and labels the stars and constellations patterns, maintains the database of the images and the detected objects. The system provides a comprehensive user interface for data input and to display the results obtained. The system demonstrated 90% success rate in correctly identifying sources and mapping the constellations. The system also serves as a valuable platform for astronomers studying deep sky images enabling the identification of anomalies in the images such as unidentified objects not cataloged or previously unidentified in constellation images.