Search for items in this repository.
Fractal analysis of laplacian pyramidal filters applied to segmentation of soil images
Castro de la Calle, Jorge de and Ballesteros Olmo, Francisco and Méndez Alonso, Alfredo and Tarquis Alfonso, Ana Maria
Fractal analysis of laplacian pyramidal filters applied to segmentation of soil images.
"The Scientific World Journal", v. 2014
The laplacian pyramid is a well-known technique for image processing in which local operators of many scales, but identical shape, serve as the basis functions. The required properties to the pyramidal filter produce a family of filters, which is unipara metrical in the case of the classical problem, when the length of the filter is 5. We pay attention to gaussian and fractal behaviour of these basis functions (or filters), and we determine the gaussian and fractal ranges in the case of single parameter ?. These fractal filters loose less energy in every step of the laplacian pyramid, and we apply this property to get threshold values for segmenting soil images, and then evaluate their porosity. Also, we evaluate our results by comparing them with the Otsu algorithm threshold values, and conclude that our algorithm produce reliable test results.
Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
Check whether the spanish journal in which you have published an article allows you to also publish it under open access.