An Efficient Image Retrieval System Using Surf Feature Extraction and Visual Word Grouping Technique

Authors(5) :-S. Bhuvana, F. Ragini Felicia Suruti, R. Shariene Fathima, P. Vincy Roshalin, M. Radhey

Content Based Image Retrieval is widely used to find the location of images for many application scenarios. It is used to tag the images using large geo-tagged image set. In recent years, images are tagged based on their locations and geo-tagged images consumes more memory space. Therefore, the performance of the image location estimation can be improved by using visual word groups. The mean shift clustering algorithm and a position descriptor have been used to generate visual word groups. A fast indexing structure is build using document builder interface. Thus the drawbacks in the existing system have been over-come in the proposed system. The proposed system involves Speeded-Up Robust Transform (SURF) which is a feature detection and descriptor method which is used for object recognition. The modules include Feature extraction which is used to identify the interest points within the image, Indexing which builds an inverted file structure to reduce the image size, Image retrieval which compares the input image with the query image to give the resultant output and Re-Ranking which categorizes the top ranked images.

Authors and Affiliations

S. Bhuvana
Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu , India
F. Ragini Felicia Suruti
Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu , India
R. Shariene Fathima
Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu , India
P. Vincy Roshalin
Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu , India
M. Radhey
Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu , India

Image Retrieval, Bag-Of-Visual Words, Spatial Constraint, Salient Area Detection, And Mean-Shift Clustering.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 488-494
Manuscript Number : CSEIT1722172
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

S. Bhuvana, F. Ragini Felicia Suruti, R. Shariene Fathima, P. Vincy Roshalin, M. Radhey, "An Efficient Image Retrieval System Using Surf Feature Extraction and Visual Word Grouping Technique", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.488-494, March-April-2017.
Journal URL : http://ijsrcseit.com/CSEIT1722172

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