Content-Based Image Retrieval for Computer Tomography Images Using Wavelet Descriptors

Petrov, Miroslav

Serdica Journal of Computing (2013)

  • Volume: 7, Issue: 4, page 333-342
  • ISSN: 1312-6555

Abstract

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An approach to building a CBIR-system for searching computer tomography images using the methods of wavelet-analysis is presented in this work. The index vectors are constructed on the basis of the local features of the image and on their positions. The purpose of the proposed system is to extract visually similar data from the individual personal records and from analogous analysis of other patients.

How to cite

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Petrov, Miroslav. "Content-Based Image Retrieval for Computer Tomography Images Using Wavelet Descriptors." Serdica Journal of Computing 7.4 (2013): 333-342. <http://eudml.org/doc/268677>.

@article{Petrov2013,
abstract = {An approach to building a CBIR-system for searching computer tomography images using the methods of wavelet-analysis is presented in this work. The index vectors are constructed on the basis of the local features of the image and on their positions. The purpose of the proposed system is to extract visually similar data from the individual personal records and from analogous analysis of other patients.},
author = {Petrov, Miroslav},
journal = {Serdica Journal of Computing},
keywords = {CBIR; Wavelet; SDWT; Wavelet-Maxima; Medical Image Database},
language = {eng},
number = {4},
pages = {333-342},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {Content-Based Image Retrieval for Computer Tomography Images Using Wavelet Descriptors},
url = {http://eudml.org/doc/268677},
volume = {7},
year = {2013},
}

TY - JOUR
AU - Petrov, Miroslav
TI - Content-Based Image Retrieval for Computer Tomography Images Using Wavelet Descriptors
JO - Serdica Journal of Computing
PY - 2013
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 7
IS - 4
SP - 333
EP - 342
AB - An approach to building a CBIR-system for searching computer tomography images using the methods of wavelet-analysis is presented in this work. The index vectors are constructed on the basis of the local features of the image and on their positions. The purpose of the proposed system is to extract visually similar data from the individual personal records and from analogous analysis of other patients.
LA - eng
KW - CBIR; Wavelet; SDWT; Wavelet-Maxima; Medical Image Database
UR - http://eudml.org/doc/268677
ER -

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