Content-Based Image Retrieval Using Extended Local Tetra Patterns

Authors

  • Choudhary D Dept. of Computer Science and Engineering, IIMT Engineering College, Meerut, UP, INDIA
  • Amit Dept. of Computer Science and Engineering, IIMT Engineering College, Meerut, UP, INDIA
  • Malik S Dept. of Computer Science and Engineering, IIMT Engineering College, Meerut, UP, INDIA
  • Singh PP Dept. of Computer Science and Engineering, IIMT Engineering College, Meerut, UP, INDIA

DOI:

https://doi.org/10.26438/ijcse/v7i2.9196

Keywords:

Local binary Patterns, Content Based Image Retrieval (CBIR), Local Ternary Patterns (LTP), Local Tetra Patterns (LTrP), Extended Local Tetra Pattern (ELTrP), Histogram Equalization

Abstract

In this modern world, finding the desired image from huge databases has been a vital problem. Content Based Image Retrieval is an efficient method to do this. Many textures based CBIR methods have been proposed so far, for better and efficient image retrieval. We aim to give a better image retrieval method by extending the Local Tetra Patterns (LTrP) for CBIR using texture classification by using extended version of LTrP. These features give additional information about the color and rotational invariance. So an improvement in the efficiency of image retrieval using CBIR is expected.

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Published

2019-02-28
CITATION
DOI: 10.26438/ijcse/v7i2.9196
Published: 2019-02-28

How to Cite

[1]
D. Choudhary, Amit, S. malik, and P. P. Singh, “Content-Based Image Retrieval Using Extended Local Tetra Patterns”, Int. J. Comp. Sci. Eng., vol. 7, no. 2, pp. 91–96, Feb. 2019.

Issue

Vol. 7 No. 2 (2019): IJCSE February Edition

Section

Research Article

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