Evaluation of the quality of ultrasound image compression by fusion of criteria with a genetic algorithm

Authors:
C. Delgorge;C. Rosenberger;G. Poisson;P. Vieyres
Affiliations:
Laboratoire Vision et Robotique, UPRES EA 2078, IUT de Bourges, Bourges, France;Laboratoire Vision et Robotique, UPRES EA 2078, IUT de Bourges, Bourges, France;Laboratoire Vision et Robotique, UPRES EA 2078, IUT de Bourges, Bourges, France;Laboratoire Vision et Robotique, UPRES EA 2078, IUT de Bourges, Bourges, France
Venue:
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

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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.