Abstract
Image retrieval is still an active research topic in the computer vision field. There are existing several techniques to retrieve visual data from large databases. Bag-of-Visual Word (BoVW) is a visual feature descriptor that can be used successfully in Content-based Image Retrieval (CBIR) applications. In this paper, we present an image retrieval system that uses local feature descriptors and BoVW model to retrieve efficiently and accurately similar images from standard databases. The proposed system uses SIFT and SURF techniques as local descriptors to produce image signatures that are invariant to rotation and scale. As well as, it uses K-Means as a clustering algorithm to build visual vocabulary for the features descriptors that obtained of local descriptors techniques. To efficiently retrieve much more images relevant to the query, SVM algorithm is used. The performance of the proposed system is evaluated by calculating both precision and recall. The experimental results reveal that this system performs well on two different standard datasets.
Highlights
Image retrieval is the field of the study that concerned with looking, browsing, and recovering digital images from an extensive database
Depending on the previous facts, the present study proposed a system for image retrieval based on local features using Bag-of-Visual Word (BoVW) model
There are many keypoint detectors that were used in research, such as Harris-Laplace, Difference of Gaussian (DoG), Hessian Laplace, and Maximally Stable Extremal Regions (MSER) [10, 11]
Summary
Image retrieval is the field of the study that concerned with looking, browsing, and recovering digital images from an extensive database. CBIR is viewed as a dynamic and quick advancing research area in image retrieval field. It is a technique for retrieving images from a collection by similarity. Image features descriptors can be either global or local. BoVW [4, 5] is proposed as an approach to solving this problem by quantizing descriptors into "visual words.”. Depending on the previous facts, the present study proposed a system for image retrieval based on local features using BoVW model.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Advanced Computer Science and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.