Pattern identification algorithm with adaptive threshold interval based extended Hough transform

Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument

Volumn 35, Issue 5, 2014, Pages 1109-1117

  Song, Xiaoyu ^a   Yuan, Shuai ^a   Guo, Hanbing ^a   Liu, Jifei ^a  

^a SHENYANG JIANZHU UNIVERSITY   (China)

Author keywords

Arc detection; Hough transform; Straight line detection; Threshold interval

Indexed keywords

HOUGH TRANSFORMS; PIXELS;

ADAPTIVE THRESHOLDS; ARC DETECTION; COMPUTATIONAL TASK; DETECTION CHARACTERISTICS; DETECTION EFFICIENCY; PATTERN IDENTIFICATION; STRAIGHT LINE DETECTION; THRESHOLD INTERVAL;

ALGORITHMS;

EID: 84902386526     PISSN: 02543087     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. HILAIRE X. Robust and accurate vectorization of line drawings[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(6): 890-904.
2. BARNES, N, LOY G, SHAW D. The regular polygon detector[J]. Pattern Recognition, 2010, 43(3): 592-602.
3. LIU H M, WANG ZH H, DENG CH, et al. Polygon detection based on meta-representation[J]. Acta Automatica Sinica, 2001, 37(9): 1050-1058.
4. ADAM H. Real-time Detection of Lines and Grids[M]. Springer Press, 2013.
5. ZENG W J, ZHANG T D, WAN L. Underwater pipeline detection based on Hough transform[J]. Chinese Journal of Scientific Instrument, 2012, 33(1): 76-84.
6. YANG D L, LU CH H, ZHANG J L, et al. Edge detection in SAR images based on ROEWA and Hough transform[J]. Journal of Electronic Measurement and Instrument, 2013, 27(6), 543-548.
7. XU L, OJA E, KULTANEN P. A new curve detection method: Randomized Hough transform (RHT)[J]. Pattern Recognition Letters, 1990, 11(5): 331-338.
8. XU L, OJA E. Randomized Hough transform (RHT): Basic mechanisms, algorithms, and computational complexities[J]. CVGIP: Image Understanding, 1993, 57(2): 131-154.
9. LI Z Q, TENG H F. Generalized Hough transform: fast randomized multi-circle detection[J]. Journal of Computer-Aided Design & Computer Graphics, 2006, 18(1): 27-33.
10. YU D, WEI W. Improved randomized circle detection algorithm[J]. Journal of Image and Graphics, 2009, 14(8): 1590-1593.
11. YU L N, HU ZH P, LIAN Q SH. Hybrid circle and ellipse fast detection using improved randomized Hough transform[J]. Journal of Electronic measurement and instrument, 2004, 18(12): 92-97.
12. HUANG Y L, YE Y T, CHEN ZH L, et al. New method of fast Hough transform for circle detection[J]. Journal of Electronic Measurement and Instrument. 2004, 24(9): 837-841.
13. ZHOU F, YANG CH, WANG CH G, et al. Circle detection and its number identification in complex condition based on random Hough transform[J]. Chinese Journal of Scientific Instrument. 2013, 34(3): 622-628.
14. DUAN R J, ZHAO W. Fast line detection algorithm based on improved Hough transformation[J]. Chinese Journal of Scientific Instrument, 2010, 31(12): 2774-2780.
15. GUO S. An improved Hough transform voting scheme utilizing surround suppression[J]. Pattern Recognition Letters, 2009, 30(13): 1241-1252.
16. YANG S H, CHEN D SH, XIE W B. Characteristics of Hough transform: a global view[J]. Journal of Computer-Aided Design & Computer Graphtics, 2006, 18(8): 1197-1204.
17. CHEN T C, CHUNG K L, An efficient randomized algorithm for detecting circles[J]. Computer Vision and Image Understanding, 2001, 83(2): 172-191.