Computers - 2025 : Preserving Songket Heritage Through Intelligent Image Retrieval: A PCA and QGD-Rotational-Based Model

Yusof, Nadiah and Abd. Majid, Nazatul Aini and Ismail, Amirah (2025) Computers - 2025 : Preserving Songket Heritage Through Intelligent Image Retrieval: A PCA and QGD-Rotational-Based Model. Computers, 14 (12). pp. 1-33. ISSN 2073-431X

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Abstract

This study proposes an intelligent Content-Based Image Retrieval (CBIR) model to preserve Malaysian songket heritage by integrating Principal Component Analysis (PCA) with Quadratic Geometric Distance (QGD) and rotational invariance techniques. The model addresses challenges in recognizing songket motifs despite image rotation, improves retrieval accuracy, and supports digital preservation of cultural heritage through efficient indexing and retrieval of motif images.

Item Type:	Article
Uncontrolled Keywords:	Songket; Cultural Heritage; Content-Based Image Retrieval (CBIR); Principal Component Analysis (PCA); Quadratic Geometric Distance (QGD); Image Retrieval; Image Rotation; Pattern Recognition; Digital Heritage Preservation
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Institute of Graduate Studies (IGS)
Depositing User:	LIBRARY2 UPTM
Date Deposited:	05 Aug 2026 08:29
Last Modified:	05 Aug 2026 08:29
URI:	http://eprints.uptm.edu.my/id/eprint/5946

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