[1] [1] CHEN Teh-chuan,CHUNG Kuo-liang.An efficient randomized algorithm for detecting circles［J］.Computer Vision and Image Understanding,2001,83(2):172-191.

[2] [2] SUETAKE N,UCHINO E,HIRATA K.Generalized fuzzy Hough transform for detecting arbitrary shapes in a vague and noisy image［J］.Soft Computing,2006,10(1):1161-1168.

[3] [3] WANG Q,CHEN H,XU X.A newly modified algorithm of hough transform for line detection［J］.International Journal of Image and Graphics,2005,5(4):715-727.

[4] [4] NIU Jian-jun,LIU Shang-qian.Algorithm for region partition in concentric circles detection［J］.Acta Photonica Sinica,2006,35(12):1946-1949.

[5] [5] LIU Yang,LI Xia,WANG Na,et al.An Improved iris location algorithm based on sampling to special regions of interesting(ROI)［J］.Acta Photonica Sinica,2008,37(6):1277-1280.

[6] [6] SNYDER W E.QI H.Machine vision［M］.London:Cambridge University Press,2004.

[7] [7] KIRYATI N,KALVIAINEN H,ALAOUTINEN S.Randomized or probabilistic Hough transform:unified performance evaluation［J］.Pattern Recognition Letters,2000,21(11):1157-1164.

[8] [8] CAI Jin-hui,JIANG Qing,ZHOU Ze-kai,et al.The research of an improved algorithm for circle detection hough transforms［J］.Pattern Recognition & AI,2004,17(1):72-76.

[9] [9] CUI Ji-wen,TAN Jiu-bin.Fast circle contour detection technique based on hough transformation with sampling restraint［J］.Journal of Harbin Instiute of Technology,2005,37(10):1394-1396.

[10] [10] SOODAMANI R,LIU Z Q.A fuzzy hough transform approach to shape description［J］.International Journal of Image and Graphics,2002,2(4):603-616.

[11] [11] BASAK J,PAL S K.Theoretical quantification of shape distortion in fuzzy Hough transform［J］.Fuzzy Sets and Systems,2005,154(24):227-250.