Barcodes for medical image retrieval using autoencoded Radon transform

@article{Tizhoosh2016BarcodesFM,
  title={Barcodes for medical image retrieval using autoencoded Radon transform},
  author={H. Tizhoosh and Christopher Mitcheltree and Shujin Zhu and Shamak Dutta},
  journal={2016 23rd International Conference on Pattern Recognition (ICPR)},
  year={2016},
  pages={3150-3155}
}
  • H. Tizhoosh, Christopher Mitcheltree, +1 author Shamak Dutta
  • Published 2016
  • Computer Science
  • 2016 23rd International Conference on Pattern Recognition (ICPR)
  • Using content-based binary codes to tag digital images has emerged as a promising retrieval technology. Recently, Radon barcodes (RBCs) have been introduced as a new binary descriptor for image search. RBCs are generated by binarization of Radon projections and by assembling them into a vector, namely the barcode. A simple local thresholding has been suggested for binarization. In this paper, we put forward the idea of “autoencoded Radon barcodes”. Using images in a training dataset, we… CONTINUE READING
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