DocumentCode :
3710264
Title :
Efficient architecture for circle detection using Hough transform
Author :
Sang-Woo Seo;Myunggyu Kim
Author_Institution :
Visual Content Research Department, ETRI, Daejeon, South Korea
fYear :
2015
Firstpage :
570
Lastpage :
572
Abstract :
This paper presents an efficient architecture for circle detection using Hough transform. The architecture adopts the scanline-based ball detection algorithm for the edge detection stage and edge-flag algorithm for the voting process. To bolster the performance of the voting process, when drawing a circle, we divide it into 16 sub-parts and compute the parts in parallel. The proposed design employs an internal memory block for the edge list. Our simulation results show that the benchmark images in the VGA size of 640 × 480 are processed within 10ms, which indicates that the proposed architecture can satisfy the speed requirements of most real world applications.
Keywords :
"Image edge detection","Computer architecture","Transforms","Engines","Detectors","Detection algorithms","Field programmable gate arrays"
Publisher :
ieee
Conference_Titel :
Information and Communication Technology Convergence (ICTC), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICTC.2015.7354612
Filename :
7354612
Link To Document :
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