Resumo

VALERO-MEDINA, José Antonio; DALLOS-BUSTOS, Cristian David  e  LIZARAZO, Ivan. A new approach to multispectral image classification based on abstract complex cells. Dyna rev.fac.nac.minas [online]. 2018, vol.85, n.204, pp.28-37. ISSN 0012-7353.  https://doi.org/10.15446/dyna.v85n204.66161.

This article proposes a new approach to image classification using a space representation as a Cartesian complex free of ambiguity in the topological relationships of adjacency, connectivity, and boundary. The proposed model comprises six phases: (i) image conversion from the conventional space into the Cartesian complex space; (ii) greyscale transformation, (iii) super-pixel space production based on watershed transform, (iv) texture space production taking advantage of 1-dimensional interpixel elements, (v) classification using support vector machines and (vi) results quality assessment. Although global accuracy of the proposed classification improves accuracy of results obtained with a conventional representation of space, the confidence test shows that this improvement is not statistically significant. However, the new approach can be further strengthened by incorporating techniques to improve boundaries definition between watersheds based on probability values as well as using spaces of multiscale texture.

Palavras-chave : classification; Cartesian complex; superpixel; topology; support vector machine.

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