IET Image Processing · 2012 · 45 citations · 18 references
ComputingComputer ScienceComputer VisionDigital ImagingInformation RetrievalDigital Image ProcessingImage AnalysisImage ProcessingImage RetrievalImage TextureTexture AnalysisColor Feature ExtractionContent-based Image RetrievalLiftingPrecisionPrecision-recall TradeoffRetrievalTexture FeaturesVisual Feature Extraction
In this study, an attempt has been made to study an image retrieval technique based on the combination of Haar wavelet transformation using lifting scheme and the colour histogram (CH) called lifting wavelet-based colour histogram. The colour feature is described by the CH, which is translation and rotation invariant. The Haar wavelet transformation is used to extract the texture features and the local characteristics of an image, to increase the accuracy of the retrieval system. The lifting scheme reduces the processing time to retrieve images. The experimental results indicate that the proposed technique outperforms the other schemes, in terms of the average precision, the average recall and the total average precision/recall.
18
Michael J. Swain, Dana H. Ballard · International Journal of Computer Vision · 1991 · 5.6K citations
A survey of content-based image retrieval with high-level semantics
Ying Liu, Dengsheng Zhang, Guojun Lu et al. · Pattern Recognition · 2006 · 1.7K citations