Ibarra Picó, Francisco, Cuenca-Asensi, Sergio, Córcoles López, Víctor
Accelerating statistical texture analysis with an FPGA-DSP hybrid architecture
IBARRA PICÓ, Francisco; CUENCA ASENSI, Sergio; CÓRCOLES LÓPEZ, Víctor. "Accelerating statistical texture analysis with an FPGA-DSP hybrid architecture". En: Proceedings of the the 9th Annual IEEE Symposium on Field-Programmable Custom Computing Machines.  Washington, DC : IEEE Computer Society, 2001. ISBN 0-7695-2667-5, pp. 289-290
URI: http://hdl.handle.net/10045/12112
DOI: 10.1109/FCCM.2001.7
ISSN: 
ISBN: 0-7695-2667-5
Abstract: 
Nowadays, most image processing systems are implemented using either MMX-optimized software libraries or, when time requirements are limited, expensive high performance DSP-based boards. In this paper we present a texture analysis co-processor concept that permits the efficient hardware implementation of statistical feature extraction, and hardware-software codesign to achieve high-performance low-cost solutions. We propose a hybrid architecture based on FPGA chips, for massive data processing, and digital signal processor (DSP) for floating-point computations. In our preliminary trials with test images, we achieved sufficient performance improvements to handle a wide range of  real-time applications.
Keywords:FPGA, Texture analisys
IEEE Computer Society
info:eu-repo/semantics/bookPart