Abstract
Image Similarity measures are used in the field of imaging to get the quantitative evaluation of the similarity between two images. These measures can be used to monitor the changes in the brain images which can help in diagnosis and treatment and prediction of brain diseases. The objective of the proposed work is to assess how effectively the image similarity metrics can be used as image similarity measures in finding the abnormalities in the brain stroke images. The proposed work uses six image similarity measures and are applied to brain stroke images for monitoring the changes in the brain stroke images. The performance of the measures shows significant results in assessing the similarity between the brain stroke images.
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Maruthi, R., Pillai, A.S., Menon, B. (2022). An Experimental Study for Monitoring the Changes in the Brain Stroke Images Using Image Similarity Measures. In: Abraham, A., et al. Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021). SoCPaR 2021. Lecture Notes in Networks and Systems, vol 417. Springer, Cham. https://doi.org/10.1007/978-3-030-96302-6_46
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DOI: https://doi.org/10.1007/978-3-030-96302-6_46
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