Multiresolution spot detection by means of entropy thresholding.
Many imaging applications deal with the detection of small targets or spots embedded within an inhomogeneous background. We present a method that accomplishes a multiresolution detection on the wavelet-transformed image. The targets are separated from the background by the exploitation of Renyi's information, which is evaluated at the different decomposition levels of the wavelet transform. The scale-dependent candidate detections are successively combined by means of majority voting for final detection. Connections with results provided in different fields such as multifractal analysis, generalized information measures in scale-space, and cross-entropy analysis in fine-to-coarse transformations are discussed. Detection performance is investigated through an example from medical image analysis.
Boccignone
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Dipartimento di Ingegneria dell'Informazione e Ingegneria Elettrica and Istituto Nazionale di Fisica della Materia, Università di Salerno, Fisciano, Italy. boccig@unisa.it and picus@unina.it
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D003952:Diagnostic Imaging; D004056:Differential Threshold; D019277:Entropy; D005260:Female; D006801:Humans; D008327:Mammography; D008962:Models, Theoretical