Add to ORKGSmoothing 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 been implemented by using a novel device architecture called CUDATM, (Compute Unified Device Architecture). We present some examples, compare the obtained time and present some research lines for the future.Ministerio de Ciencia e Innovación TIN2008-04487-EMinisterio de Ciencia e Innovación TIN-2009-13192Junta de Andalucía P08-TIC-04200Junta de Andalucía PO6-TIC-02268Ministerio de Educación y Ciencia MTM2009-1271
Membrane Computing is a new paradigm inspired from cellular communication. Until now, P systems have...
International audienceSmoothing filter is the method of choice for image preprocessing and pattern r...
In this paper, we present a parallel implementation of a new algorithm for segmenting images with g...
Membrane Computing is a biologically inspired computational model. Its devices are called P systems ...
Membrane Computing is a biologically inspired computational model. Its devices are called P systems ...
Problems associated with the treatment of digital images have several interesting features from a bi...
In this paper we present a new software tool for dealing with the problem of segmentation in Digital...
We present a solution of the segmentation problem using a distributed, non deterministic and paralle...
Several features of image segmentation make it suitable for bio–inspired techniques. It can be paral...
This paper uses P-Lingua, a standard programming language that is designed specifically for P system...
In this paper, we show a new example of bridging Algebraic Topology, Membrane Computing and Digital...
In this paper, membrane-based computing image segmentation, both region-based and edge-based, is pro...
International audienceTo prepare images for better segmentation, we need preprocessing applications,...
Membrane Computing is a paradigm inspired from biological cellular communication. Membrane computing...
Skeletonization is a common type of transformation within image analysis. In general, the image B is...
Membrane Computing is a new paradigm inspired from cellular communication. Until now, P systems have...
International audienceSmoothing filter is the method of choice for image preprocessing and pattern r...
In this paper, we present a parallel implementation of a new algorithm for segmenting images with g...
Membrane Computing is a biologically inspired computational model. Its devices are called P systems ...
Membrane Computing is a biologically inspired computational model. Its devices are called P systems ...
Problems associated with the treatment of digital images have several interesting features from a bi...
In this paper we present a new software tool for dealing with the problem of segmentation in Digital...
We present a solution of the segmentation problem using a distributed, non deterministic and paralle...
Several features of image segmentation make it suitable for bio–inspired techniques. It can be paral...
This paper uses P-Lingua, a standard programming language that is designed specifically for P system...
In this paper, we show a new example of bridging Algebraic Topology, Membrane Computing and Digital...
In this paper, membrane-based computing image segmentation, both region-based and edge-based, is pro...
International audienceTo prepare images for better segmentation, we need preprocessing applications,...
Membrane Computing is a paradigm inspired from biological cellular communication. Membrane computing...
Skeletonization is a common type of transformation within image analysis. In general, the image B is...
Membrane Computing is a new paradigm inspired from cellular communication. Until now, P systems have...
International audienceSmoothing filter is the method of choice for image preprocessing and pattern r...
In this paper, we present a parallel implementation of a new algorithm for segmenting images with g...