The counting of mycorrhizal fungi spores using fuzzy mathematical morphology

被引：0
|
作者：
Andrade, Alexsandra O. [1 ]
Trindade, Roque M. P. [1 ]
Neves, Vanessa B. F. [1 ]
Maia, Deise S. [1 ]
Miguel, Divino Levi [2 ]
Santiago, Regivan H. N. [3 ]
Guerrreiro, Ana Maria G. [4 ]
机构：
[1] Univ Estadual Sudoeste Bahia, Dept Exact Sci & Technol, BR-45083900 Vitoria da Conquista, BA, Brazil
[2] Univ Estadual Sudoeste Bahia, Dept Agr & Soils Engn, BR-45083900 Vitoria da Conquista, BA, Brazil
[3] Univ Fed Rio Grande do Norte, Dept Comp Sci & Appl Math, BR-59072970 Natal, RN, Brazil
[4] Univ Fed Rio Grande do Norte, Dept Biomed Engn, BR-59072970 Natal, RN, Brazil
来源：
2015 Annual Meeting of the North American Fuzzy Information Processing Society DigiPen NAFIPS 2015 | 2015年
关键词：
BINARY;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The mathematical morphology presents a systematic model to extract geometrical characteristics of images using morphological operators, which transforms the original image into another, using a third image called structural element. The fuzzy mathematical morphology extends the morphological operators to grayscale and coloured images using the fuzzy logic, where the definition of the operators are defined using the concepts of implications and fuzzy conjunctions, specifically, the implications and conjunctions of Lukasiewicz. In this paper it was proposed a counting method of mycorrhizal fungi spores which are derived from mycorrhizas, a symbiotic association between a fungus and a plant, using fuzzy morphological operators. The counting of these spores was done manually using corrugated plate and the aid of a stereoscopic microscope.
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页数：6
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