Rastreabilidade do Conhecimento como Mecanismo de Melhoria de Qualidade de Software

Classification of the distance transformation algorithms under the mathematical morphology approach

Francisco de Assis ZampirolliRoberto de Alencar Lottufo

The distance transform (DT) is a morphological erosion of the binary image by a given structuring function, that dictates the distance metric in the transformation. There are many known algorithms and structuring function decompositions to efficiently implement a morphological erosion. Most of the erosion algorithms are classified as parallel, sequential raster (and anti-raster), and propagation. Based on this classification and decomposition, we review and classify most of the DT algorithms reported in the literature. As a result of this study, we have contributed not only to better classify and understand the diversity of the DT algorithms in the literature, but also to create a collection of efficient erosion algorithms suitable to different computer architectures.

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