The Realization of Circular Ring Counting Using Frequency Domain Method

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

[1] Duda R O, Hart P E. Use of the Hough transformation to detect lines and curves in pictures. Communication ACM, 1972, 15(1):11～15

[2] Kimme C, Ballard D, Sklansky J. Finding circles by an array of accumulators. Communication ACM, 1975, 18(2):120～122

[3] Yip R K K, Tam P K S, Lleund D N K. Modification of Hough transform for circles and ellipses detection using a 2-dimensimel array. Pattern Recognition, 1992, 25(9): 1007～1022

[4] Goneid A, Gindi S, Sewisy A. A method for the Hough transform detection of circles and ellipses using a 1-dimensional array. Proc. IEEE International Conference on Systems, Man and Cybernetics, 1997, 4:3154～3157

[5] Wei Y. A fast finding and fitting algorithm to detect circles. International Geo-Science and Remote Sensing Symposium(IDGHT), 1998, 2:1187～1189

[6] Ho C T, Chen L H. A fast ellipse/ circle detector using geometric symmetry. Pattern Recognition, 1995, 28(1):117～124

[7] Ioannou D, Huda W, Laine A F. Circle recognition through a 2-D Hough transform and radius histogramming. Image and Vision Computing, 1999, 17(1):15～26

[8] Paw D C W, Li H F. Shapes recognition using the straight line Hough transform: theory and generalization. IEEE Trans. Pattern Anal. Mach. Intel., 1992, 14(11):1076～1089

[9] Atiquzzaman M. Pipelined implementation of the multi resolution Hough transform in a pyramid multiprocessor. Pattern Recognition Lett., 1994, 19(9):841～851

[10] Fisher A L, Highnam P T. Computing the Hough transform on a scan line array processor. IEEE Trans. Pattern Anal. Mach. Intel., 1989, 11(3):262～265

[11] Kavianpour A, Shoari S, Bagherzadeh N. A new approach for circle detection on multi processors. J. Parallel and Distributed Computing, 1994, 20(2):256～260

[12] Chan R, Siu W C. New parallel Hough transform for circles. IEE Processings-E, 1991, 138(5):335～344

[13] Kumar S, Ranganathan N, Goldgof D. Parallel algorithms for circle detection in images. Pattern Recognition, 1994, 27(8):1019～1028

[14] Atiguzzaman M. Coarse-to-fine search technique to detect circles in images. The International J. A dvanced Manuf acturing Technology, 1999, 15(2):96～102

[15] Kerbyson D J, Atherton T J. Circle detection using Hough transform filters. IEEE Conference Publication, 1995, 410: 370～374

[16] Atiquzzaman M. Multi resolution Hough transform-an efficient method of detecting pattern in images. IEEE Trans. Pattern Anal. Mach. Intel., 1992, 14(11):1090～1095

[17] Yu W H W. Memory-efficient circle and ellipse detection algorithm in digital images. Proc. IEEE International Conference on Systems, Man and Cybernetics, 1995, 4262～4267

[18] Li H, Lavin M A, Lemaster R J. Fast Hough transform: a hierarchical approach. Computer Vision, Graphics and Image Processing, 1986, 36(2):139～161

[19] Kiryati N, Eldar Y, Bruckstern A M. A probabilistic Hough transform. Pattern Recognition, 1991, 24(4): 302～316

[20] Kalvainen H, Hirconen P, Xu L et al.. Probabilistic and non-probabilistic Hough transforms: overview and comparisons. Image Vision Computer, 1995, 13(4):239～252

[21] Levers V F. The dynamic generalized Hough transform: its relationship to the probabilistic Hough transforms and an application to the current detection of circles and ellipses. CVGIP: Image Understanding, 1992, 56(3):381～398

[22] Xu L, Oja E, Kultanen P. A new curve detection method: randomized Hough transform(RHT). Pattern Recognition Letters, 1990, 11(5):331～338

[23] Xu L, Oja E. Randomized Hough transform: basic mechanisms, algorithms and computational complexities. CVGIP: Image Understanding, 1993, 57(2):131～154

[24] Yla R A, Kiryati N. Adaptive termination of voting in the probabilistic circular Hough transform. IEEE Trans. Pattern Anal. Mach. Intel., 1994, 16(9):911～915