Random Binary Local Patch Clustering Transforms Based Image Matching for Nonlinear Intensity Changes

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/6360741/figures/6360741.fig.001a.svgz" name="6360741.fig.001a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Illumination change</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/6360741/figures/6360741.fig.001b.svgz" name="6360741.fig.001b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Different exposures</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/6360741/figures/6360741.fig.001c.svgz" name="6360741.fig.001c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Multispectral</td></tr></table>

<div>Example of the binary local patch clustering transform results with (a) illumination change, (b) different exposures, and (c) multispectral images.</div>

Mathematical Problems in Engineering

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Figure 1

Figure 1: Random Binary Local Patch Clustering Transforms Based Image Matching for Nonlinear Intensity Changes 