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Mostrando ítems 1-10 de 27
Artículo
Fully automatized parallel segmentation of the optic disc in retinal fundus images
(Elsevier, 2016-11)
This paper presents a fully automatic parallel software for the localization of the optic disc (OD) in retinal fundus color images. A new method has been implemented with the Graphics Processing Units (GPU) technology. ...
Ponencia
Skeletonizing Images by Using Spiking Neural P Systems
(Fénix Editora, 2012)
Skeletonizing an image is representing a shape with a small amount of information by converting the initial image into a more compact representation and keeping the meaning features. In this paper we use spiking neural ...
Artículo
Segmenting images with gradient-based edge detection using Membrane Computing
(Elsevier, 2013)
In this paper, we present a parallel implementation of a new algorithm for segmenting images with gradient-based edge detection by using techniques from Natural Computing. This bio-inspired parallel algorithm has been ...
Capítulo de Libro
A bio-inspired software for segmenting digital images.
(2010)
Segmentation in computer vision refers to the process of partitioning a digital image into multiple segments (sets of pixels). It has several features which make it suitable for techniques inspired by nature. It can be ...
Ponencia
Semantics of Deductive Databases in a Membrane Computing Connectionist Model
(Fénix, 2016)
The integration of symbolic reasoning systems based on logic and connectionist systems based on the functioning of living neurons is a vivid research area in computer science. In the literature, one can found many e orts ...
Ponencia
A Cellular Way to Obtain Homology Groups in Binary 2D Images
(Fénix Editora, 2010)
In this paper we present a P systems-based solution for the Homology Groups of Binary 2D Image (HGB2I) Problem, a classical problem in Homology Theory. To this aim, we present a family of P systems which solves all the ...
Ponencia
Counting Cells with Tissue-like P Systems
(Fénix Editora, 2012)
Counting the number of cells obtained in an experiment is crucial in many areas in Biology. Nonetheless, this is usually performed by hand by the researcher due the intrinsic difficulty of the task. In this paper, we ...
Artículo
Representative Datasets: The Perceptron Case
(Cornell University, 2019)
One of the main drawbacks of the practical use of neural networks is the long time needed in the training process. Such training process consists in an iterative change of parameters trying to minimize a loss function. ...
Ponencia
Smoothing Problem in 2D Images with Tissue-like P Systems and Parallel Implementation
(Fénix Editora, 2011)
Smoothing is often used in Digital Imagery to reduce noise within an image. In this paper we present a Membrane Computing algorithm for smoothing 2D images in the framework of tissue-like P systems. The algorithm has ...
Ponencia
Studying the Chlorophyll Fluorescence in Cyanobacteria with Membrane Computing Techniques
(Fénix Editora, 2013)
In this paper, we report a pioneer study of the decrease in chlorophyll uorescence produced by the reduction of MTT (a dimethyl thiazolyl diphenyl tetrazolium salt) monitored using an epi uorescence microscope coupled ...