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Robust Image Registration Based on an Adaptive Normalized Mutual Information Metric
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class="card"> <div class="card-body"><strong>Paper Count:</strong> 87408</div> </div> </div> </div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Robust Image Registration Based on an Adaptive Normalized Mutual Information Metric</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Huda%20Algharib">Huda Algharib</a>, <a href="https://publications.waset.org/abstracts/search?q=Amal%20Algharib"> Amal Algharib</a>, <a href="https://publications.waset.org/abstracts/search?q=Hanan%20Algharib"> Hanan Algharib</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Mohammad%20Alqudah"> Ali Mohammad Alqudah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Image registration is an important topic for many imaging systems and computer vision applications. The standard image registration techniques such as Mutual information/ Normalized mutual information -based methods have a limited performance because they do not consider the spatial information or the relationships between the neighbouring pixels or voxels. In addition, the amount of image noise may significantly affect the registration accuracy. Therefore, this paper proposes an efficient method that explicitly considers the relationships between the adjacent pixels, where the gradient information of the reference and scene images is extracted first, and then the cosine similarity of the extracted gradient information is computed and used to improve the accuracy of the standard normalized mutual information measure. Our experimental results on different data types (i.e. CT, MRI and thermal images) show that the proposed method outperforms a number of image registration techniques in terms of the accuracy. <iframe src="https://publications.waset.org/abstracts/82815.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=image%20registration" title="image registration">image registration</a>, <a href="https://publications.waset.org/abstracts/search?q=mutual%20information" title=" mutual information"> mutual information</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20gradients" title=" image gradients"> image gradients</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20transformations" title=" image transformations"> image transformations</a> </p> <a 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