DefinePK

DefinePK hosts the largest index of Pakistani journals, research articles, news headlines, and videos. It also offers chapter-level book search.

An effective image retrieval method based on fractal dimension using kernel density estimation


Article Information

Title: An effective image retrieval method based on fractal dimension using kernel density estimation

Authors: Zhang Qin, Huang Xiaoqing, Liu Wenbo

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2014

Volume: 9

Issue: 7

Language: English

Categories

Abstract

Fractal coding has been proved useful for image compression, and it is also proved effective for image retrieval. In the paper, we present a statistical method called variable bandwidth kernel density estimation to analyze fractal coding parameters. Then retrieve images using the retrieval index constructed with this method. Experimental results show that the proposed method with a variable optimized bandwidth performs better than those with a fixed bandwidth and the histogram method both in retrieval rate and retrieval speed. In this paper, the Average Retrieval Rate (ARR) can reach 72.40%, which is more than that obtained by the existing methods.


Paper summary is not available for this article yet.

Loading PDF...

Loading Statistics...