An Artificial Cellular Convolution Architecture for Real-Time Image Processing
Joint Authors
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-11-01
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Civil Engineering
Information Technology and Computer Science
Abstract EN
An artificial cell is comprised of the most basic elements in a hierarchical system, that has minimal functionality, but general enough to obey the rules of “artificial life.” The ability to replicate, organize hierarchy, and generalize within an environment is some of the properties of an artificial cell.
We present a hardware artificial cell having the properties of generalization ability, the ability of self-organization, and the reproducibility.
The cells are used in parallel hardware architecture for implementing the real-time 2D image convolution operation.
The proposed hardware design is implemented on FPGA and tested on images.
We report improved processing speeds and demonstrate its usefulness in an image filtering application.
American Psychological Association (APA)
Mahrous, H.& James, A. P.. 2011. An Artificial Cellular Convolution Architecture for Real-Time Image Processing. ISRN Machine Vision،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-449972
Modern Language Association (MLA)
Mahrous, H.& James, A. P.. An Artificial Cellular Convolution Architecture for Real-Time Image Processing. ISRN Machine Vision No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-449972
American Medical Association (AMA)
Mahrous, H.& James, A. P.. An Artificial Cellular Convolution Architecture for Real-Time Image Processing. ISRN Machine Vision. 2011. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-449972
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-449972