Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast wavelet histogram techniques for image indexing
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Wavelet correlogram: A new approach for image indexing and retrieval
Pattern Recognition
The curvelet transform for image denoising
IEEE Transactions on Image Processing
The finite ridgelet transform for image representation
IEEE Transactions on Image Processing
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This work represents a modified curvelet transform (MCT) and its combination with vocabulary tree (VT) for feature collection and retrieval of the images from database. MCT has been implemented using the Gabor wavelet sub-bands. The proposed algorithm captures edge information in an image more accurately than Gabor transform (GT) and curvelet transform which uses a trous wavelet transform (ACT) for decomposition of an image. The MCT uses the ridgelet transform as a component step and implements curvelet sub-bands using a filter bank of Gabor wavelet filters. Descriptor vectors (energy histogram vectors) of each image are indexed using vocabulary tree. The proposed method is tested on Corel image database and the retrieval results demonstrate significant improvement in weighted average precision, average precision, average retrieval rate, and average rank compared to the ACT and GT.