Local quantized extrema patterns for content-based natural and texture image retrieval

L. Koteswara Rao,D. Venkata Rao

doi:10.1186/s13673-015-0044-z

Abstract

AbstractThis paper proposes a novel feature descriptor, named local quantized extrema patterns (LQEP) for content based image retrieval. The standard local quantized patterns (LQP) collect the directional relationship between the center pixel and its surrounding neighbors and the directional local extrema patterns (DLEP) collect the directional information based on local extrema in 0°, 45°, 90°, and 135° directions for a given center pixel in an image. In this paper, the concepts of LQP and DLEP are integrated to propose the LQEP for image retrieval application. First, the directional quantized information is collected from the given image. Then, the directional extrema is collected from the quantized information. Finally, the RGB color histogram is integrated with the LQEP for a feature vector generation. The performance of the proposed method is tested by conducting three experiments on Coel-1K, Corel-5K and MIT VisTex databases for natural and texture image retrieval. The performance of the proposed method is evaluated in terms of precision, recall, average retrieval precision and average retrieval rate on benchmark databases. The results after investigation show a considerable improvements in terms of their evaluation measures as compared to the existing methods on respective databases.

Highlights

Data mining is an active area of research for mining or retrieving data/information from a large database or library
The main contributions of this work are summarized as follows. (a) The proposed method collects the directional quantized extrema information from the query/database image by integrating the concepts of local quantized patterns (LQP) and directional local extrema patterns (DLEP). (b) To improve the performance of the content-based image retrieval (CBIR) system, the local quantized extrema patterns (LQEP) operator combines with RGB color histogram. (c) The performance of the proposed method is tested on benchmark databases for natural and texture image retrieval
Local quantized extrema patterns (LQEP) The operators DLEP [35] and LQP [40] have motivated us to propose the LQEP for image retrieval

Summary

Introduction

Data mining is an active area of research for mining or retrieving data/information from a large database or library. The integration of color and texture features are proposed for image retrieval. The concepts of LQP [40] and DLEP [35] have motivated us to propose the local quantized extrema patterns (LQEP) for image retrieval application.

Results

Conclusion