Open AccessClassification of the galaxy Milky Way using variable precision rough sets technique
Author(s) -
Ban Sabah Ismael
Publication year - 2019
Publication title -
iraqi journal of physics
Language(s) - English
Resource type - Journals
eISSN - 2664-5548
pISSN - 2070-4003
DOI - 10.30723/ijp.v12i24.319
Subject(s) - milky way , galaxy , image (mathematics) , variable (mathematics) , artificial intelligence , computer science , astrophysics , class (philosophy) , pattern recognition (psychology) , physics , mathematics , mathematical analysis
Astronomy image is regarded main source of information to discover outer space, therefore to know the basic contain for galaxy (Milky way), it was classified using Variable Precision Rough Sets technique to determine the different region within galaxy according different color in the image. From classified image we can determined the percentage for each class and then what is the percentage mean. In this technique a good classified image result and faster time required to done the classification process.