Abstract
In this work an image pre-processing module has been developed to extract quantitative information from plantation images with various degrees of infestation. Four filters comprise this module: the first one acts on smoothness of the image, the second one removes image background enhancing plants leaves, the third filter removes isolated dots not removed by the previous filter, and the fourth one is used to highlight leaves’ edges. At first the filters were tested with MATLAB, for a quick visual feedback of the filters’ behavior. Then the filters were implemented in the C programming language. At last, the module as been coded in VHDL for the implementation on a Stratix II family FPGA. Tests were run and the results are shown in this paper.
This work has been partially supported by the Brazilian National Research Council (CNPq) through a project within Brazil-IP program, and by Sao Paulo State Research Foundation (FAPESP) through travel grant number 2008/01645-7.
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Mertes, J.G., Marranghello, N., Pereira, A.S. (2008). Implementation of Filters for Image Pre-processing for Leaf Analyses in Plantations. In: Bubak, M., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2008. ICCS 2008. Lecture Notes in Computer Science, vol 5102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69387-1_17
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DOI: https://doi.org/10.1007/978-3-540-69387-1_17
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