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[PDF][PDF] Training cellular automata for image edge detection
AP Shukla - Romanian Journal of Information Science and …, 2016 - romjist.ro
Cellular automata can be significantly applied in image processing tasks. In this paper, a
novel method to train two dimensional cellular automata for detection of edges in digital …
novel method to train two dimensional cellular automata for detection of edges in digital …
An enhanced cellular automata based scheme for noise filtering
Cellular Automata is a computational model used to describe the complex system through
simple rules. It has been significantly applied to image processing operations. It appear as a …
simple rules. It has been significantly applied to image processing operations. It appear as a …
Training two dimensional cellular automata for some morphological operations
Cellular Automata is significantly applying to image processing operations. This paper
describes the application of cellular automata (CA) to various morphological operations …
describes the application of cellular automata (CA) to various morphological operations …
An enhanced cellular automata based filter for despeckling of ultrasound images
Speckle noise is a multiplicative noise which degrades the quality of ultrasound images and
videos which causes the difficulties in evaluation and diagnoses of diseases by experts …
videos which causes the difficulties in evaluation and diagnoses of diseases by experts …
Training cellular automata for salt and pepper noise filtering
Cellular Automata is significantly applying to image processing operations. The description
about the use of training of cellular automata for filtering the salt and pepper noise in binary …
about the use of training of cellular automata for filtering the salt and pepper noise in binary …
[PDF][PDF] 3D Simulations Using Cellular Automata–A Survey
Cellular automata (CA) are used for modelling many physical systems because of its distinct
dynamic behaviour. Cellular automata provide an alternative for modelling and solving large …
dynamic behaviour. Cellular automata provide an alternative for modelling and solving large …
Pattern Recognition of Signature Verification Using Cellular Automata Methods
R Wardoyo - JEECS (Journal of Electrical Engineering and …, 2016 - ejournal.ubhara.ac.id
A pattern recognition technique in the field of machine learning and can be defined as" the
act of taking raw data and act upon data classification". Much research has been done on …
act of taking raw data and act upon data classification". Much research has been done on …
[PDF][PDF] AN APPROACH FOR EFFICIENT PRE-PROCESSING OF MULTI-TEMPORAL HYPERSPECTRAL SATELLITE IMAGERY
SP Ramu, P Sevugan - iioab.org
The satellite images acquired can vary in resolutions. Based on the resolution in which the
data is acquired, they are broadly classified as Spatial Resolution, Spectral Resolution …
data is acquired, they are broadly classified as Spatial Resolution, Spectral Resolution …
[PDF][PDF] Selection of Optimum Rule Set of Two Dimensional Cellular Automata for Some Morphological Operations
The cellular automaton paradigm is very appealing and its inherent simplicity belies its
potential complexity. Two dimensional cellular automata are significantly applying to image …
potential complexity. Two dimensional cellular automata are significantly applying to image …