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Mostrando ítems 11-20 de 93
On the role of complete lattices in mathematical morphology: From tool to uncertainty model
(Elsevier Science IncNew YorkEUA, 2011)
Classification of fuzzy mathematical morphologies based on concepts of inclusion measure and duality
(SpringerDordrechtHolanda, 2008)
Intuitionistic fuzzy set and fuzzy mathematical morphology applied to color leukocytes segmentation
(Springer, 2019-10-25)
This work presents a new algorithm based on Atanassov’s intuitionistic fuzzy sets and fuzzy mathematical morphology to leukocytes segmentation in color images. The main idea is based on modeling a color image as an Atanassov’s ...
Microscope cell color images segmentation by fuzzy morphological reconstruction
(SPIE Digital Library, 2017-01-26)
There are many different methods to perform gray level segmentation in microscope cell images however, in some circumstances, texture features and roughness are not as relevant as the color for the segmentation task. In ...
Storage and recall capabilities of fuzzy morphological associative memories with adjunction-based learning
(Pergamon-elsevier Science LtdOxfordInglaterra, 2011)
Fuzzy Mathematical Morphology Toolbox and Graphical Interface
(Institute of Electrical and Electronics Engineers, 2013-06)
The task of solving problems using Digital Image Processing requires of the choice of the correct methodology for the issues to be tackled, and a sound selection of parameters for each algorithm to be used. Fuzzy Mathematical ...
On the construction of interval-valued fuzzy morphological operators
(Elsevier Science BvAmsterdamHolanda, 2011)
On the performance of Some Edge Detectors for Gray Scale Images
(Old City Publishing Inc, 2019-03)
Image processing represents an important challenge in different fields. Mathematical Morphology uses concepts from set theory, geometry, algebra and topology to analyze the geometrical structure of an image. Using them, ...
Gray Scale Edge Detection using Interval-Valued Fuzzy Relations
(Atlantis Press, 2015-12)
Gray scale edge detection can be modeled using Fuzzy Sets and, in particular, Interval-Valued Fuzzy Sets. This work is focused on studying the performance of several Interval-Valued Fuzzy Sets construction methods for ...