Title :
A CNN based correlation algorithm to assist visually impaired persons
Author :
Ţepelea Laviniu;Gacsádi Alexandru;Gavriluţ Ioan;Tiponuţ Virgil
Author_Institution :
University of Oradea, Romania, Department of Electronics and Telecommunications, Faculty of Electrical Engineering and Information Technology, Universitatii Str. 1, 410087, Oradea, Romania
fDate :
6/1/2011 12:00:00 AM
Abstract :
This paper presents a correlation algorithm based on the use of cellular neural networks (CNNs) that can improve the features of assisting systems, to give more information from environment to visually impaired persons. The most of operations (calculations) included in the proposed algorithm are achievable by parallel processing. Thus, it can reduce the computing time and the computing time will not increase proportionally with increasing the size of the template images.
Keywords :
"Correlation","Field programmable gate arrays","Pixel","Measurement","Parallel processing","Robots","Visualization"
Conference_Titel :
Signals, Circuits and Systems (ISSCS), 2011 10th International Symposium on
Print_ISBN :
978-1-61284-944-7
DOI :
10.1109/ISSCS.2011.5978686
