An Artificial Cellular Convolution Architecture for Real-Time Image Processing

المؤلفون المشاركون

James, A. P.
Mahrous, H.

المصدر

ISRN Machine Vision

العدد

المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-7، 7ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2011-11-01

دولة النشر

مصر

عدد الصفحات

7

التخصصات الرئيسية

هندسة مدنية
تكنولوجيا المعلومات وعلم الحاسوب

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-449972