Content-based image retrieval by segmentation and clustering

Vishal Lonarkar, B. Ashwath Rao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents an approach for content-based image retrieval of both texture and non-texture images. With the growth of the number of images in digital format, modern image retrieval systems employ content-based image retrieval. Our system uses automated segmentation technique followed with region based feature extraction. The system employs clustering of images to speed up the retrieval process. The proposed system achieved an accuracy of 97.56%. The result demonstrate that the searching of an image is fast and accurate.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages771-776
Number of pages6
ISBN (Electronic)9781538640319
DOIs
Publication statusPublished - 24-05-2018
Externally publishedYes
Event2017 International Conference on Inventive Computing and Informatics, ICICI 2017 - Coimbatore, India
Duration: 23-11-201724-11-2017

Conference

Conference2017 International Conference on Inventive Computing and Informatics, ICICI 2017
CountryIndia
CityCoimbatore
Period23-11-1724-11-17

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems

Cite this

Lonarkar, V., & Rao, B. A. (2018). Content-based image retrieval by segmentation and clustering. In Proceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017 (pp. 771-776). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICICI.2017.8365241