High Performance Custom Computing for Image Segmentation
نویسندگان
چکیده
The use of dynamic instruction architectures based on eld-programmable gate arrays (FPGAs) is described. Using this approach, an application speciic instruction based system has been designed for image segmentation which is an important stage in a computer vision system. The speciic application of interest here is texture-based page layout segmentation for document images. The complete segmentation algorithm has been designed for implementation on Splash 2 { an attached processor (for SUN SPARCstations) based on Xilinx 4010 FPGAs. It is estimated that seg-mentation of a 1,024 1,024 image will take less than 125 millisecond on a 16-board Splash 2 system compared to 250 seconds of CPU time on a SPARCstation 20.
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