Content-based image retrieval considering colour difference histogram of image texture and edge orientation

被引：0

作者：

AlyanNezhadi M.M. ^{[1
]}

Qazanfari H. ^{[1
]}

Ajam A. ^{[2
]}

Amiri Z. ^{[1
]}

机构：

[1] Image Processing and Data Mining Lab, Shahrood University of Technology, Shahrood

[2] Department of Computer Engineering, Shahrood Non-profit and Non-government Higher Edu. Inst, Shahrood

来源：

International Journal of Engineering, Transactions B: Applications | 2020年 / 33卷 / 05期

关键词：

Colour Difference; Colour Difference Histogram; Content-based Image Retrieval; Data Mining; Edge Orientation; Entropy; LBP Texture;

D O I：

10.5829/IJE.2020.33.05B.28

中图分类号：

学科分类号：

摘要：

Content-based image retrieval is one of the interesting subjects in image processing and machine vision. In image retrieval systems, the query image is compared with images in the database to retrieve images containing similar content. Image comparison is done using features extracted from the query and database images. In this paper, the features are extracted based on the human visual system. Since the human visual system considers the texture and the edge orientation in images for comparison, the colour difference histogram associated with the image’s texture and edge orientation is extracted as a feature. In this paper, the features are selected using the Shannon entropy criterion. The proposed method is tested using the Corel-5K and Corel-10K databases. The precision and recall criteria were used to evaluate the proposed system. The experimental results show the ability of the proposed system for more accurate retrieval rather than recently content-based image retrieval systems. © 2020 Materials and Energy Research Center. All rights reserved.

引用

页码：949 / 958

页数：9