A Fast Hierarchical Multilevel Image Segmentation Method using Unbiased Estimators

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dc.creatorGoparaju, Sreechakra
dc.creatorAcharya, Jayadev
dc.creatorRay, Ajoy K.
dc.creatorGoswami, Jaideva C.
dc.date2007-12-24
dc.date.accessioned2026-07-07T08:51:16Z
dc.date.available2026-07-07T08:51:16Z
dc.descriptionThis paper proposes a novel method for segmentation of images by hierarchical multilevel thresholding. The method is global, agglomerative in nature and disregards pixel locations. It involves the optimization of the ratio of the unbiased estimators of within class to between class variances. We obtain a recursive relation at each step for the variances which expedites the process. The efficacy of the method is shown in a comparison with some well-known methods.
dc.description10 pages, 5 figures, submitted to "IEEE Transactions on Pattern Analysis and Machine Intelligence"
dc.identifierhttps://arxiv.org/abs/0712.4015
dc.identifierhttp://arxiv.org/abs/0712.4015
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/144877
dc.subjectComputer Vision and Pattern Recognition
dc.titleA Fast Hierarchical Multilevel Image Segmentation Method using Unbiased Estimators
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