Content-based image retrieval system using fuzzy colour and local binary pattern with apache lucene

Zulkurnain, Nurul Fariza and Azhar, Mohamad Asyraaf and Mallik, Moksud Alam (2022) Content-based image retrieval system using fuzzy colour and local binary pattern with apache lucene. In: International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2021), 13th - 14th August 2021, Hyderabad, India.

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Abstract

The technique of searching for and obtaining related images in image databases is known as image retrieval [1]. It is usually divided into two categories: text-based image recovery (TBIR) and content-based image recovery (CBIR) [2]. A new categorization, semantic-based picture recovery (SBIR), has been added by a few experts. SBIR is used to break down any barriers between low-level provisions and the extraction of substantial-level items. The picture recovery in TBIR is based on literary suggestions and does not examine the original image. The data can be in the form of manual comments or logical clues. Content-based picture recovery (CBIR), then again, permits the client to include an inquiry picture rather than text during the looking through measure. There are four main procedures to build a complete CBIR system which are (1) define image descriptor, (2) index feature vectors, (3)define similarity metric, and (4) searching process.

Item Type:	Conference or Workshop Item (Plenary Papers)
Uncontrolled Keywords:	CBIR, fuzzy colour, Apache Lucene
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	DR Nurul Fariza Zulkurnain
Date Deposited:	01 Aug 2023 16:05
Last Modified:	01 Aug 2023 16:10
URI:	http://irep.iium.edu.my/id/eprint/105790

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