Hybrid Discrete Wavelet Transform and Gabor Filter Banks Processing for Features Extraction from Biomedical Images

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="104684.fig.001a" src="https://static.hindawi.com/articles/jme/volume-2013/104684/figures/104684.fig.001a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Normal</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="104684.fig.001b" src="https://static.hindawi.com/articles/jme/volume-2013/104684/figures/104684.fig.001b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Alzheimer’s disease</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="104684.fig.001c" src="https://static.hindawi.com/articles/jme/volume-2013/104684/figures/104684.fig.001c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Glioma</td></tr></table></td></tr><tr class="fig-image" id="d"><td><img alt="104684.fig.001d" src="https://static.hindawi.com/articles/jme/volume-2013/104684/figures/104684.fig.001d.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(d) </b>Herpes encephalitis</td></tr></table></td></tr><tr class="fig-image" id="e"><td><img alt="104684.fig.001e" src="https://static.hindawi.com/articles/jme/volume-2013/104684/figures/104684.fig.001e.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(e) </b>Metastatic bronchogenic carcinoma</td></tr></table></td></tr><tr class="fig-image" id="f"><td><img alt="104684.fig.001f" src="https://static.hindawi.com/articles/jme/volume-2013/104684/figures/104684.fig.001f.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(f) </b>Multiple sclerosis</td></tr></table></td></tr></table>

<table>Examples of brain MR images.</table>

Journal of Medical Engineering

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Figure 1

Figure 1: Hybrid Discrete Wavelet Transform and Gabor Filter Banks Processing for Features Extraction from Biomedical Images 