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  • 标题:FPGA based Image Feature Extraction Using Xilinx System Generator
  • 本地全文:下载
  • 作者:Swapnil G. Kavitkar ; Prashant L. Paikrao
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:3
  • 页码:3743-3747
  • 出版社:TechScience Publications
  • 摘要:Image Features are the basis for most of the real time image processing applications. Edge is one of the prime features of image. It helps us to analyze, infer and take decision in various image processing applications. In this paper sobel and prewitts algorithms are implemented over Field Programmable Gate Array (FPGA). Real time system demands dedicated hardware for image processing. Prototype of the ASIC can be obtained by FPGA based implementation of edge detection algorithm. FPGA has many significant features, that serves as a platform for processing real time algorithm. It gives substantially higher performance over programmable Digital Signal Processor (DSPs) and microprocessor. Modern approach of ‘Xilinx System Generator’ (XSG) is used for system modeling and FPGA programming. XSG is a tool of matlab that generates bit stream file (*.bit), netlist, timing and power analysis
  • 关键词:Image features; FPGA; XSG; Matlab
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