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논문검색

Automated Numbers of Cluster Determination Using the Combination of Entropy and Histogram Peaks from Multiple Images

초록

영어

Image segmentation subdivided an image into its constituent regions or segments. This regions or segments of an image is known as ‘cluster’ and the method used for this is called ‘clustering method’. There are different methods or algorithms are out there to segment an image. There is a problem with those algorithms user has to supply the number of cluster in which it has to be segmented. Here we introduced a method using combination of both entropy of RGB color component and histogram to automatic determination of cluster present in a color image.

목차

Abstract
 1. Introduction
 2. Review Work
 3. Method
 4. Results and Discussion
 5. Conclusion
 Appendix
 References

저자정보

  • Swati Chowdhury Department of Computer Science and Engineering, Academy of Technology, G T Road (Adisaptagram), Aedconagar, Hooghly-712121, West Bengal, India
  • Sudipta Roy Department of Computer Science and Engineering, Academy of Technology, G T Road (Adisaptagram), Aedconagar, Hooghly-712121, West Bengal, India
  • Anirban Mitra Department of Computer Science and Engineering, Academy of Technology, G T Road (Adisaptagram), Aedconagar, Hooghly-712121, West Bengal, India
  • Prasenjit Das Department of Computer Science and Engineering, Academy of Technology, G T Road (Adisaptagram), Aedconagar, Hooghly-712121, West Bengal, India

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