Artigo
Fractal descriptors for discrimination of microscopy images of plant leaves
Registro en:
Journal of Physics. Conference Series, v. 490, n. 1, p. 12085, 2014.
1742-6596
10.1088/1742-6596/490/1/012085
9548962911240501
0000-0003-3841-5597
Autor
Silva, N. R.
Florindo, J. B.
Gómez, M. C.
Kolb, Rosana Marta [UNESP]
Bruno, O. M.
Resumen
This study proposes the application of fractal descriptors method to the discrimination of microscopy images of plant leaves. Fractal descriptors have demonstrated to be a powerful discriminative method in image analysis, mainly for the discrimination of natural objects. In fact, these descriptors express the spatial arrangement of pixels inside the texture under different scales and such arrangements are directly related to physical properties inherent to the material depicted in the image. Here, we employ the Bouligand-Minkowski descriptors. These are obtained by the dilation of a surface mapping the gray-level texture. The classification of the microscopy images is performed by the well-known Support Vector Machine (SVM) method and we compare the success rate with other literature texture analysis methods. The proposed method achieved a correctness rate of 89%, while the second best solution, the Co-occurrence descriptors, yielded only 78%. This clear advantage of fractal descriptors demonstrates the potential of such approach in the analysis of the plant microscopy images. Institute of Mathematics and Computer Science, University of SãO Paulo (USP), Avenida Trabalhador são-carlense, 400 13566-590 SãO Carlos, SãO Paulo, Brazil Scientific Computing Group, SãO Carlos Institute of Physics, University of SãO Paulo (USP), cx 369 13560-970 SãO Carlos, SãO Paulo, Brazil Department of Physics, Faculty of Biochemistry and Biological Sciences, National University of Littoral, S3000ZAA Santa Fe, Argentina Universidade Estadual Paulista Júlio de Mesquita Filho, Faculdade de Ciências e Letras de Assis, Assis, Av. Dom Antônio, 2100, Depto de Ciências Biológicas, Parque Universitário, CEP 19806-900, SP, Brasil Department of Biological Sciences, Faculty of Sciences and Letters, Universidade Estadual Paulista Júlio de Mesquita Filho, UNESP. Av. Dom Antônio, 2100, 19806-900, Assis, Brazil