A New Architecture for Image Retrieval Optimization with HARP Algorithm

Authors

  • S. Selvam Research Scholar, Dept. of Computer Science, Bharathiar University, Coimbatore, Tamilnadu, India
  • S. Thabasu Kannan Principal, Pannai College of Engg. & Tech, Sivagangai – 630 561, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajcst-2017.6.1.1779

Keywords:

CBIR, Genetic Algorithm, HARP Algorithm, Precision, Recall

Abstract

Image retrieval plays a vital role in image processing.The main aim of this paper is to build more generalized CBIR system, which increase the searching ability and to improve the retrieval accuracy. The proposed method is experimented and analyzed with large database. The result show that the architecture of new CBIR system is good performance in speed and decreasing retrieval time.

References

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Published

30-01-2017

How to Cite

Selvam, S., & Thabasu Kannan, S. (2017). A New Architecture for Image Retrieval Optimization with HARP Algorithm. Asian Journal of Computer Science and Technology, 6(1), 1–5. https://doi.org/10.51983/ajcst-2017.6.1.1779