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A real-time multi-scale 2-D Gaussian filter based on FPGA
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
会议录名称Proc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application
出版者SPIE
出版地Bellingham, WA
2014
页码1-7
收录类别EI ; CPCI(ISTP)
EI收录号20150800551839
WOS记录号WOS:000349327100004
产权排序1
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.

语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/15331
专题光电信息技术研究室
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.Key Laboratory of Optical-Electronics Information Processing, Chinese Academy of Science, Shenyang, China
4.Key Laboratory of Image Understanding and Computer Vision, Liaoning Province, Shenyang, China
5.Hebei Hanguang Industry CO., LTD, Handan, China
推荐引用方式
GB/T 7714
Luo HB,Gai XQ,Chang Z,et al. A real-time multi-scale 2-D Gaussian filter based on FPGA[C]. Bellingham, WA:SPIE,2014:1-7.
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