Clusterização Baseada na \varphi-Divergência Aplicada à Segmentação de Imagens

Joniel B Barreto, Rui F Vigelis

DOI: 10.14209/sbrt.2019.1570559131

Evento: XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2019)

Keywords:

Abstract

This work presents a \varphi-divergence, which is a generalization of Shannon and Tsallis relative entropies, as dissimilarity measure in image segmentation by clustering. The tests are performed by segmenting the text region of scanned images with noise from the NoisyOffice database. Based on the results, the proposed clustering method was more applicable than established methods, such as Otsu threshold and classical K-means.

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