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题名: A real-time multi-scale 2D Gaussian filter based on FPGA
作者: Luo HB(罗海波) ; Gai XQ(盖兴琴) ; Chang Z(常铮) ; Hui B(惠斌)
作者部门: 光电信息技术研究室
会议名称: International Symposium on Optoelectronic Technology and Application 2014
会议日期: May 13-15, 2014
会议地点: Beijing, China
会议录: Proc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application
会议录出版者: SPIE
会议录出版地: Bellingham, WA
出版日期: 2014
页码: 1-7
收录类别: CPCI(ISTP) ; EI
ISSN号: 0277-786X
关键词: Multi-scale 2-D Gaussian filter ; Multi-scale 2-D convolution ; Real-time implementation ; Parallel pipeline ; In-place operation ; CAFIFO ; FPGA
摘要: Multi-scale 2-D Gaussian filter has been widely used in feature extraction (e.g. SIFT, edge etc.), image segmentation, image enhancement, image noise removing, multi-scale shape description etc. However, their computational complexity remains an issue for real-time image processing systems. Aimed at this problem, we propose a framework of multi-scale 2-D Gaussian filter based on FPGA in this paper. Firstly, a full-hardware architecture based on parallel pipeline was designed to achieve high throughput rate. Secondly, in order to save some multiplier, the 2-D convolution is separated into two 1-D convolutions. Thirdly, a dedicate first in first out memory named as CAFIFO (Column Addressing FIFO) was designed to avoid the error propagating induced by spark on clock. Finally, a shared memory framework was designed to reduce memory costs. As a demonstration, we realized a 3 scales 2-D Gaussian filter on a single ALTERA Cyclone III FPGA chip. Experimental results show that, the proposed framework can computing a Multi-scales 2-D Gaussian filtering within one pixel clock period, is further suitable for real-time image processing. Moreover, the main principle can be popularized to the other operators based on convolution, such as Gabor filter, Sobel operator and so on.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/15331
Appears in Collections:光电信息技术研究室_会议论文

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