Simulink Modelling of Radon and Wavelet Transforms for Image Feature Extraction

نویسندگان

  • A. Gavlasová
  • A. Procházka
چکیده

Image analysis, de-noising, segmentation, feature extraction and classification form very important research topics of image processing. The paper is devoted to the rotation and translation invariant image transforms analysis and their use for image enhancement and features extraction. A special attention is paid to the two-dimensional Radon and wavelet transforms forming fundamental mathematical tools in these areas. Results are verified in the Simulink environment both for simulated data and for analysis of magnetic resonance biomedical images.

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تاریخ انتشار 2005