Galaxy classification using fractal signature

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

2

Galaxies: Fundamental Parameters (Classification), Techniques: Image Processing, Methods: Data Analysis

Scientific paper

Fractal geometry is becoming increasingly important in the study of image characteristics. For recognition of regions and objects in natural scenes, there is always a need for features that are invariant and they provide a good set of descriptive values for the region. There are many fractal features that can be generated from an image. In this paper, fractal signatures of nearby galaxies are studied with the aim of classifying them. The fractal signature over a range of scales proved to be an efficient feature set with good discriminating power. Classifiers were designed using nearest neighbour method and neural network technique. Using the nearest distance approach, classification rate was found to be 92%. By the neural network method it has been found to increase to 95%.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Galaxy classification using fractal signature does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Galaxy classification using fractal signature, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Galaxy classification using fractal signature will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1462291

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.