Open Access

ARTICLE

Shape, Color and Texture Based CBIR System Using Fuzzy Logic Classifier

D. Yuvaraj¹, M. Sivaram², B. Karthikeyan^3,*, Jihan Abdulazeez⁴

1 Department of Computer Science, Cihan University-Duhok-42001, Kurdistan Region-Iraq.
2 Department of Computer Networking, Lebanese French University, Erbil-44001, Kurdistan Region-Iraq.
3 School of Computing, SASTRA Deemed University, Thanjavur-613401, India.
4 Department of Computer Science, Cihan University-Duhok-42001, Kurdistan Region-Iraq.

* Corresponding Author: B. Karthikeyan. Email: .

Computers, Materials & Continua 2019, 59(3), 729-739. https://doi.org/10.32604/cmc.2019.05945

Abstract

The perfect image retrieval and retrieval time are the two major challenges in CBIR systems. To improve the retrieval accuracy, the whole database is searched based on many image characteristics such as color, shape, texture and edge information which leads to more time consumption. This paper presents a new fuzzy based CBIR method, which utilizes colour, shape and texture attributes of the image. Fuzzy rule based system is developed by combining color, shape, and texture feature for enhanced image recovery. In this approach, DWT is used to pull out the texture characteristics and the region based moment invariant is utilized to pull out the shape features of an image. Color similarity and texture attributes are extorted using customized Color Difference Histogram (CDH). The performance evaluation based on precision and BEP measures reveals the superiority of the proposed method over renowned obtainable approaches.

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Citations