TEXTURE CLASSIFIER FOR PLANT IDENTIFICATION

Authors

  • José Antonio Rodrigues Souza
  • Débora Astoni Moreira

DOI:

https://doi.org/10.13083/reveng.v18i6.144

Keywords:

classificação de imagens, textura, matriz de co-ocorrência

Abstract

The objective of this work was to develop a texture classifier in Matlab to identify four plant species. The texture was defined by means of a set of statistical measures describing the spatial variations of pixel intensity or color of the shoots. Such measures were calculated using matrices of co-occurrence. The results showed that the textural classification for plant identification is simple, because the classification results highly related to the analyzed textures.

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Published

2010-12-13

How to Cite

Souza, J. A. R., & Moreira, D. A. (2010). TEXTURE CLASSIFIER FOR PLANT IDENTIFICATION. Engineering in Agriculture, 18(6), 514–521. https://doi.org/10.13083/reveng.v18i6.144

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