Author:
Tadi Bani Neda,Fekri-Ershad Shervan
Abstract
Purpose
Large amount of data are stored in image format. Image retrieval from bulk databases has become a hot research topic. An alternative method for efficient image retrieval is proposed based on a combination of texture and colour information. The main purpose of this paper is to propose a new content based image retrieval approach using combination of color and texture information in spatial and transform domains jointly.
Design/methodology/approach
Various methods are provided for image retrieval, which try to extract the image contents based on texture, colour and shape. The proposed image retrieval method extracts global and local texture and colour information in two spatial and frequency domains. In this way, image is filtered by Gaussian filter, then co-occurrence matrices are made in different directions and the statistical features are extracted. The purpose of this phase is to extract noise-resistant local textures. Then the quantised histogram is produced to extract global colour information in the spatial domain. Also, Gabor filter banks are used to extract local texture features in the frequency domain. After concatenating the extracted features and using the normalised Euclidean criterion, retrieval is performed.
Findings
The performance of the proposed method is evaluated based on the precision, recall and run time measures on the Simplicity database. It is compared with many efficient methods of this field. The comparison results showed that the proposed method provides higher precision than many existing methods.
Originality/value
The comparison results showed that the proposed method provides higher precision than many existing methods. Rotation invariant, scale invariant and low sensitivity to noise are some advantages of the proposed method. The run time of the proposed method is within the usual time frame of algorithms in this domain, which indicates that the proposed method can be used online.
Subject
Library and Information Sciences,Computer Science Applications
Reference30 articles.
1. Wavelet based image retrieval method;International Journal of Advanced Computer Science and Applications,2012
2. Content based image retrieval using visually significant point features;Fuzzy Sets and Systems,2009
3. Taxonomy of nominal type histogram distance measures,2008
4. Color texture image retrieval based on Gaussian Copula models of gabor wavelets;Pattern Recognition,2017
5. The wavelet transform time-frequency localization and signal analysis;IEEE Transactions on Information Theory,1990
Cited by
32 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献