Fundamentals of digital image processing
Fundamentals of digital image processing
A signature for content-based image retrieval using a geometrical transform
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Representation Via a Finite Radon Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture-Based Image Retrieval without Segmentation
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A Metric for Distributions with Applications to Image Databases
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
IEEE Transactions on Software Engineering
Hi-index | 0.00 |
Content-based image retrieval based on feature extraction is still a highly challenging task. Traditional features are either purely statistical, thus losing spatial information, or purely spatial without statistical information. The Radon transform (RT) is a geometrical transform widely used in computer tomography. The projections transformed embed spatial relationships while integrating information in certain directions. The RT has been used to design invariant features for retrieval. Spatial resolutions in RT are inhomogeneous resulting in non-uniform feature representation across the image. We employ the local RT by aligning the centre of the RT with the centroids of the region of interest and use a sufficient number of projections. Finally the earth mover's distance method is utilized to combine local matching results. Using the proposed approach, image retrieval accuracy is maintained, while reducing computational cost.