Title :
Evolvable Reconfigurable Hardare framework for edge detection
Author_Institution :
Boise State Univ., Boise
Abstract :
Systems on Reconfigurable Chips contain rich resources of logic, memory, and processor cores on the same fabric. This platform is suitable for implementation of Evolvable Reconfigurable Hardware Architectures (ERHA). It is based on the idea of combining reconfigurable Field Programmable Gate Arrays (FPGA) along with genetic algorithms (GA) to perform the reconfiguration operation. This architecture is a suitable candidate for implementation of early-processing stage operators of image processing such as filtering and edge detection. However, there are still fundamental issues need to be solved regarding the on-chip reprogramming of the logic. This paper presents a framework for implementing an evolvable hardware architecture for edge detection on Xilinx Virtex-4 chip. Some preliminary results are discussed.
Keywords :
edge detection; field programmable gate arrays; genetic algorithms; reconfigurable architectures; Xilinx Virtex-4 chip; edge detection; evolvable reconfigurable hardware architectures; genetic algorithms; image processing; on-chip reprogramming; reconfigurable chips; reconfigurable field programmable gate arrays; Biological cells; Computer architecture; Field programmable gate arrays; Genetic algorithms; Hardware; Image edge detection; Memory management; Random access memory; Read-write memory; Reconfigurable logic;
Conference_Titel :
Circuits and Systems, 2007. MWSCAS 2007. 50th Midwest Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-1175-7
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2007.4488542