Edge detection of infrared image with CNN_DGA algorithm
W Wang, LJ Yang, YT Xie, Y An - Optik, 2014 - Elsevier
In this paper, infrared image edge detection algorithm based on the combination of the
cellular neural networks (CNN) and distributed genetic algorithm (DGA) is proposed. The …
cellular neural networks (CNN) and distributed genetic algorithm (DGA) is proposed. The …
Land mine detection by infrared thermography: reduction of size and duration of the experiments
A Muscio, MA Corticelli - IEEE Transactions on Geoscience and …, 2004 - ieeexplore.ieee.org
The effectiveness of infrared thermography applied to the detection of abandoned land
mines is not yet acceptable. It can probably be improved, however, by computerized …
mines is not yet acceptable. It can probably be improved, however, by computerized …
Image descreening by GA-CNN-based texture classification
YW Shou, CT Lin - IEEE Transactions on Circuits and Systems I …, 2004 - ieeexplore.ieee.org
This work proposes an image-descreening technique based on texture classification using a
cellular neural network (CNN) with template trained by genetic algorithm (GA), called GA …
cellular neural network (CNN) with template trained by genetic algorithm (GA), called GA …
CNN-based 3D thermal modeling of the soil for antipersonnel mine detection
The inherent analogies between the defining equation of CNN and that of heat transfer are
well known. In this paper, we explore the projection of a 3D thermal model of the soil on this …
well known. In this paper, we explore the projection of a 3D thermal model of the soil on this …
Noise reduction in CMOS image sensor using cellular neural networks with a genetic algorithm
J Ryu, T Nishimura - IEICE TRANSACTIONS on Information and …, 2010 - search.ieice.org
In this paper, Cellular Neural Networks using genetic algorithm (GA-CNNs) are designed for
CMOS image noise reduction. Cellular Neural Networks (CNNs) could be an efficient way to …
CMOS image noise reduction. Cellular Neural Networks (CNNs) could be an efficient way to …
Experiments of thermographic landmine detection with reduced size and compressed time
A Muscio, MA Corticelli - Infrared physics & technology, 2004 - Elsevier
Infrared thermography is a promising technique for the detection of buried landmines. Its
effectiveness is not yet satisfactory, but it can presumably be improved by means of proper …
effectiveness is not yet satisfactory, but it can presumably be improved by means of proper …
Cellular neural networks learning using genetic algorithm
EG Ramírez - … del Centro de Investigación de la …, 2003 - revistasinvestigacion.lasalle.mx
Cellular Neural Networks Learning using Genetic Algorithm Page 1 Rev. Centro Inv. (Méx) Vol.
6, Núm. 21, Jul.-Dic. 2003 25 Artículo de Investigación INTRODUCTION Cellular Neural …
6, Núm. 21, Jul.-Dic. 2003 25 Artículo de Investigación INTRODUCTION Cellular Neural …
Robustness oriented design tool for multilayer DTCNN applications
In this work, we present a design automation tool for the synthesis of multilayer discrete time
cellular neural network (DTCNN) structures that takes into account hardware implementation …
cellular neural network (DTCNN) structures that takes into account hardware implementation …
Genetic Programming for the CNN-UM
GE Pazienza, E Gomez-Ramirez… - … Workshop on Cellular …, 2006 - ieeexplore.ieee.org
We work on automatic tools-based on evolutionary techniques-to generate analogic
algorithms and for image processing. The main improvements with respect to previous …
algorithms and for image processing. The main improvements with respect to previous …
Antipersonnel mine detection on infrared images
Detection and clearance of buried mines is a big problem with lots of humanitarian,
environmental and economic implications. Classic techniques, such as metal detectors, are …
environmental and economic implications. Classic techniques, such as metal detectors, are …