Fractal Analysis of Laplacian Pyramidal Filters Applied to Segmentation of Soil Images
Joint Authors
de Castro, J.
Ballesteros, F.
Méndez, A.
Tarquis, A. M.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-10
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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 a.
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.
American Psychological Association (APA)
de Castro, J.& Ballesteros, F.& Méndez, A.& Tarquis, A. M.. 2014. Fractal Analysis of Laplacian Pyramidal Filters Applied to Segmentation of Soil Images. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1048752
Modern Language Association (MLA)
de Castro, J.…[et al.]. Fractal Analysis of Laplacian Pyramidal Filters Applied to Segmentation of Soil Images. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1048752
American Medical Association (AMA)
de Castro, J.& Ballesteros, F.& Méndez, A.& Tarquis, A. M.. Fractal Analysis of Laplacian Pyramidal Filters Applied to Segmentation of Soil Images. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1048752
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048752