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- W2030779787 abstract "This paper describe our work on tagline detection and tissue strain synthesis. The tagline detection method extends our previous work<sup>16</sup> using pseudo-wavelet reconstruction. The novelty in tagline detection is that we integrated an active contour model and successfully improved the detection and indexing performance. Using pseudo-wavelet reconstruction-based method, prominent wavelet coefficients were retained while others were eliminated. Taglines were then extracted from the reconstructed images using thresholding. Due to noise and artifacts, a tagline can be broken into segments. We employed an active contour model that tracks the most likely segments and bridges them. Experiments demonstrated that our method extracts taglines automatically with greater robustness. Tissue strain was also reconstructed using extracted taglines." @default.
- W2030779787 created "2016-06-24" @default.
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- W2030779787 date "2007-03-08" @default.
- W2030779787 modified "2023-10-05" @default.
- W2030779787 title "An accurate tongue tissue strain synthesis using pseudo-wavelet reconstruction-based tagline detection" @default.
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- W2030779787 doi "https://doi.org/10.1117/12.710402" @default.
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