Stochastic Fractal Search Algorithm for Template Matching with Lateral Inhibition

<div>Experimental results for image 7. (a) Original image (749 <svg height="7.35473pt" id="M135" style="vertical-align:-0.3499303pt" version="1.1" viewbox="-0.0498162 -7.0048 7.75925 7.35473" width="7.75925pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M528 54L331 254L528 455L492 493L294 291L96 493L60 455L257 254L60 54L96 16L294 217L492 16L528 54Z" id="g117-42"></path></g></svg> 347). (b) Template image (49 <svg height="7.35473pt" id="M136" style="vertical-align:-0.3499303pt" version="1.1" viewbox="-0.0498162 -7.0048 7.75925 7.35473" width="7.75925pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M528 54L331 254L528 455L492 493L294 291L96 493L60 455L257 254L60 54L96 16L294 217L492 16L528 54Z" id="g117-42"></path></g></svg> 30). (c) Original image processed by the lateral inhibition. (d) Template image processed by the lateral inhibition. (e) The final template matching result. (f) Evolution curves of experimental results for image 7.</div>

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Figure 9

Figure 9: Stochastic Fractal Search Algorithm for Template Matching with Lateral Inhibition 