Memory efficient FPGA implementation of hough transform for line and circle detection

Hough transform (HT) is a widely used algorithm in machine vision systems. In this paper, a memory efficient architecture for implementing HT on FPGAs is presented. The proposed architecture enables storing the HT space on the FPGA's memory blocks with no need for accessing external memory whil...

Full description

Saved in:
Bibliographic Details
Published in2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) pp. 1 - 5
Main Authors Elhossini, A., Moussa, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2012
Subjects
Computer vision
Field programmable gate arrays
FPGA
Hardware
Hough Transform
Image edge detection
Mathematical model
Memory management
Transforms
Online AccessGet full text

Cover

More Information
Summary:Hough transform (HT) is a widely used algorithm in machine vision systems. In this paper, a memory efficient architecture for implementing HT on FPGAs is presented. The proposed architecture enables storing the HT space on the FPGA's memory blocks with no need for accessing external memory while processing large size images in real-time with high frame rate. It can be used for both line and circle detection. Results show very good accuracy with images processed at 30 fps frame rate and image size of 800 × 600. This compares favourably with other reported architectures in the literature.
ISBN:1467314315
9781467314312
ISSN:0840-7789
DOI:10.1109/CCECE.2012.6335003