Abstract
The goal of this work is to propose a criterion for the evaluation of ultrasound image compression. We want to measure the image quality as easily as with a statistical criterion, and with the same reliability as the medical assessment. An initial psychovisual experiment is proposed to medical experts, and represents our reference value for the comparison of the evaluation criteria. Several statistical criteria are selected from the literature. We define a cumulative absolute similarity measure as a distance between the criterion to evaluate and the reference value. A fusion method by a genetic algorithm is proposed to improve the results obtained by each criterion separately. We show the benefit of fusion through some experimental results.
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Delgorge, C., Rosenberger, C., Poisson, G., Vieyres, P. (2005). Evaluation of the Quality of Ultrasound Image Compression by Fusion of Criteria with a Genetic Algorithm. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds) Pattern Recognition and Image Analysis. ICAPR 2005. Lecture Notes in Computer Science, vol 3687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552499_52
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DOI: https://doi.org/10.1007/11552499_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28833-6
Online ISBN: 978-3-540-31999-3
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