Content-Based Image Retrieval using SIFT for binary and greyscale images
- 1 October 2013
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2013 IEEE International Conference on Signal and Image Processing Applications
Abstract
This paper presents an alternative approach for Content Based Image Retrieval (CBIR) using Scale Invariant Feature Transform (SIFT) algorithm for binary and gray scale images. The motivation to use SIFT algorithm for CBIR is due to the fact that SIFT is invariant to scale, rotation and translation as well as partially invariant to affine distortion and illumination changes. Inspired by these facts, this paper investigates the fundamental properties of SIFT for robust CBIR by using MPEG-7, COIL-20 and ZuBuD image databases. Our approach uses detected keypoints and its descriptors to match between the query images and images from the database. Our experimental results show that the proposed CBIR using SIFT algorithm producing excellent retrieval result for images with many corners as compared to retrieving image with less corners.Keywords
This publication has 11 references indexed in Scilit:
- Content-based image retrieval: An application to tattoo imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- A SVM face recognition method based on Gabor-featured key pointsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Distinctive Image Features from Scale-Invariant KeypointsInternational Journal of Computer Vision, 2004
- Effective image retrieval by shape saliencesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- A compact and efficient image retrieval approach based on border/interior pixel classificationPublished by Association for Computing Machinery (ACM) ,2002
- Color-based image retrieval using binary signaturesPublished by Association for Computing Machinery (ACM) ,2002
- Object recognition from local scale-invariant featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Query by image and video content: the QBIC systemComputer, 1995
- Photobook: tools for content-based manipulation of image databasesPublished by SPIE-Intl Soc Optical Eng ,1994
- A Combined Corner and Edge DetectorPublished by British Machine Vision Association and Society for Pattern Recognition ,1988