1,721,028 research outputs found
Entropy Measure in Image Classification
No full textThe paper introduces entropy as a measure for 1D signals. We propose an entropy measure of the relationship between the crest of the signal (i.e. its portion contained between the absolute minimum and maximum) and the energy of the signal. A linear transformation of 2D signals into 1D signals is also illustrated. The experimental results are compared to several fuzzy entropy measures and other well-known methods in literature. Experiments have been carried out on medical images from a large mammograms database; this choice is due to the high-degree of complexity of this kind of images and the strong interest in the scientific community on medical images. The capability of the methods was tested in order to discriminate between benignant and malignant microcalcifications
The Role of Entropy: Mammogram Analysis
No full textThis 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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