A Novel Technique Based on Visual Words Fusion Analysis of Sparse Features for Effective Content-Based Image Retrieval
Joint Authors
Rehman, A.
Saba, T.
Rashid, Muhammad
Habib, Hafiz Adnan
Mehmood, Zahid
Mahmood, Toqeer
Yousuf, Muhammad
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-06
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Content-based image retrieval (CBIR) is a mechanism that is used to retrieve similar images from an image collection.
In this paper, an effective novel technique is introduced to improve the performance of CBIR on the basis of visual words fusion of scale-invariant feature transform (SIFT) and local intensity order pattern (LIOP) descriptors.
SIFT performs better on scale changes and on invariant rotations.
However, SIFT does not perform better in the case of low contrast and illumination changes within an image, while LIOP performs better in such circumstances.
SIFT performs better even at large rotation and scale changes, while LIOP does not perform well in such circumstances.
Moreover, SIFT features are invariant to slight distortion as compared to LIOP.
The proposed technique is based on the visual words fusion of SIFT and LIOP descriptors which overcomes the aforementioned issues and significantly improves the performance of CBIR.
The experimental results of the proposed technique are compared with another proposed novel features fusion technique based on SIFT-LIOP descriptors as well as with the state-of-the-art CBIR techniques.
The qualitative and quantitative analysis carried out on three image collections, namely, Corel-A, Corel-B, and Caltech-256, demonstrate the robustness of the proposed technique based on visual words fusion as compared to features fusion and the state-of-the-art CBIR techniques.
American Psychological Association (APA)
Yousuf, Muhammad& Mehmood, Zahid& Habib, Hafiz Adnan& Mahmood, Toqeer& Saba, T.& Rehman, A.…[et al.]. 2018. A Novel Technique Based on Visual Words Fusion Analysis of Sparse Features for Effective Content-Based Image Retrieval. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1206078
Modern Language Association (MLA)
Yousuf, Muhammad…[et al.]. A Novel Technique Based on Visual Words Fusion Analysis of Sparse Features for Effective Content-Based Image Retrieval. Mathematical Problems in Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1206078
American Medical Association (AMA)
Yousuf, Muhammad& Mehmood, Zahid& Habib, Hafiz Adnan& Mahmood, Toqeer& Saba, T.& Rehman, A.…[et al.]. A Novel Technique Based on Visual Words Fusion Analysis of Sparse Features for Effective Content-Based Image Retrieval. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1206078
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1206078