Authors:

I Gusti Agung Gede Arya Kadyanan, Wahyudi -, Aniati Murni Arymurthy

Abstract:

“Keyblock is a generalization of the text-based information retrieval technology in the image domain. The main purpose of this framework is to find the codebook of a given size from a set of training image blocks. This main purpose can be achieved with any Vector quantization algorithm. This paper is an answer to the questions: “Can we use keyblock for piercing pattern?” Which one is the best algorithm between GLA or PNNA for VQ ?” The paper begins by describing some basic theory of Texture Feature, Keyblock-based, Vector quantization, Generalized Lloyd Algorithm (GLA) and Pairwise Nearest Neighbour Algorithm (PNNA). Next, it summarizes the implementation of both algorithm in keyblock framework for piercing pattern. Finally, it describes the experimental result of this research.”

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PDF:

https://jurnal.harianregional.com/jik/full-2704

Published

2021-11-09

How To Cite

ARYA KADYANAN, I Gusti Agung Gede; -, Wahyudi; MURNI ARYMURTHY, Aniati. Keyblock for Content-based Image Retrieval (Vector quantization Comparison In Piercing Domain Image).Jurnal Ilmu Komputer, [S.l.], apr. 2012. ISSN 2622-321X. Available at: https://jurnal.harianregional.com/jik/id-2704. Date accessed: 28 Aug. 2025.

Citation Format

ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol. 5, No. 1 April 2012

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License