Abstract
This paper introduces entropy as a feature for 1D signals. It proposes the ratio between signal perturbation (i.e. its part within minimum and maximum grey level) and the total signal energy as a measurement of entropy. Linear transformation of 2D signals into 1D signals is also illustrated together with the results. This paper also presents the experimentation carried out on different mammograms containing different pathologies (microcalcification and masses).A comparison between different entropy measures and ours is also illustrated in this study. © 2008 Springer-Verlag Berlin Heidelberg.
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Vitulano, S., & Casanova, A. (2008). The role of entropy: Mammogram analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5112 LNCS, pp. 863–872). https://doi.org/10.1007/978-3-540-69812-8_86
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