Alternative formulations to compute the binary shape Euler number

Juan Humberto Sossa Azuela, Elsa Rubio Espino, Raúl Santiago, Alejandro López, Alejandro Peña Ayala, Erik V.Cuevas Jimenez

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The authors propose two equations based on the pixel geometry and connectivity properties, which can be used to compute, efficiently, the Euler number of a binary digital image with either thick or thin boundaries. Although computing this feature, the authors' technique extracts the underlying topological information provided by the shape pixels of the given image. The correctness of computing the Euler number using the new equations is also established theoretically. The performance of the proposed method is compared against other available alternatives. Experimental results on a large image database demonstrate that the authors technique for computing the Euler number outperforms the earlier approaches significantly in terms of the number of basic arithmetic operations needed per pixel. Both equations are specialised only for 4-connectivity cases.

Original languageEnglish
Pages (from-to)171-181
Number of pages11
JournalIET Computer Vision
Volume8
Issue number3
DOIs
StatePublished - 2014

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