Abstract
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.
Highlights
Our Galactic Home (Milky way) A glance up at the night sky reveals a broad swath of light
Experiment analysis In this search we was take Astronomy image to classified using Variable Precision Rough Sets Technique, in this technique we will classified the Milky Way image in seven classes according to different region and contain such that; the old stars, new star, dust, gas, heart and arms of galaxy
The total percentages for all classes not equal to 100%, perfected because there are several points are not included in any class of classified image
Summary
Our Galactic Home (Milky way) A glance up at the night sky reveals a broad swath of light. The Milky Way is a barred spiral galaxy, about 100,000 light-years across. Even at this rapid speed, the solar system would take about 230 million years to travel all the way around the Milky Way[1]. Curled around the center of the galaxy, the spiral arms contain a high amount of dust and gas.
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