We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Design and Implementation of Floating Point based System for Pellet Size Distribution using Circular Hough Transform

by Dhiraj, J. L. Raheja, Vaishali Singh, Sreekanth Pusapati, Ashutosh Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 13
Year of Publication: 2013
Authors: Dhiraj, J. L. Raheja, Vaishali Singh, Sreekanth Pusapati, Ashutosh Gupta
10.5120/10138-4414

Dhiraj, J. L. Raheja, Vaishali Singh, Sreekanth Pusapati, Ashutosh Gupta . Design and Implementation of Floating Point based System for Pellet Size Distribution using Circular Hough Transform. International Journal of Computer Applications. 62, 13 ( January 2013), 9-15. DOI=10.5120/10138-4414

@article{ 10.5120/10138-4414,
author = { Dhiraj, J. L. Raheja, Vaishali Singh, Sreekanth Pusapati, Ashutosh Gupta },
title = { Design and Implementation of Floating Point based System for Pellet Size Distribution using Circular Hough Transform },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 13 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 9-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number13/10138-4414/ },
doi = { 10.5120/10138-4414 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:11:41.131433+05:30
%A Dhiraj
%A J. L. Raheja
%A Vaishali Singh
%A Sreekanth Pusapati
%A Ashutosh Gupta
%T Design and Implementation of Floating Point based System for Pellet Size Distribution using Circular Hough Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 13
%P 9-15
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Detection of circular shape from grey scale images is explored in this paper. The algorithm used for detection of circles is Circular Hough Transform which is one of the types of Hough Transform. The algorithm is implemented in VHDL. In this paper IEEE-754 single precision standard floating point number has been discussed and also the arithmetic operations such as addition, subtraction, multiplication and division have also been covered.

References
  1. Sirisak Liangwongsan, Boonraung Marungsri, Ratchadaporn Oonsivilai and Anant Oonsivilai, "Extracted Circle Hough Transform and Circle Defect Detection Algorithm," World Academy of Science, Engineering and Technology 60 2011, pp. 432-437
  2. Dimitrios Ioannou,Walter Huda and Andrew F. Laine, "Circle recognition through a 2D Hough Transform and radius histogramming, " Journal of Image and Vision Computing 17 (1999) Esevier, pp. 15–26
  3. J. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal. and Mach. Intell. , vol. 8, pp. 679-714, Nov. 1986.
  4. L. S. Davis, "A survey of edge detection techniques," Comput. Graph. and ImageProcess. , vol. 4, pp. 248-260, Sept. 1975.
  5. W. Dong and Z. Shisheng, "Color image recognition method based on the Prewittoperator," Int. Conf. Computer Science and Software Engin. , vol. 6, pp. 170-173,Dec. 2008.
  6. S. Lanser and W. Eckstein, "A modification of Deriche's approach to edge detection,"in Proc. Int. Conf. Image, Speech, and Signal Anal. , The Hague, Netherlands, 1992,pp. 633-637.
  7. U. Kulisch, "Advanced Arithmeti c for the Digital Computers", Springer- Verlag, Vienna, 2002.
  8. J. R. Hauser ACM Trans, "Handling Floating-point Exceptions in Numeric Programs", on Prog. Lang. and Syst. vol. 8-2 (Mar. 1996).
  9. Simon Just Kjeldgaard Pedersen, Circular Hough Transform, Aalborg University, Vision, Graphics and Interactive Systems, November 2007. Available at: http://www. cvmt. dk/education/teaching/e07/MED3/IP/Simon_Pedersen_CircularHoughTransform. pdf
  10. K. Kanatani, Geometric Computation for Machine Vision, Oxford University Press, Oxford, 1993.
  11. D. B. Cooper and N. Yalabik, On the computational cost of approximating and recognizing noise-perturbed straightlines and quadratic arcs in the plane, IEEE Trans. Comp. , 25-10 (1976), 1020–1032.
  12. S. A. Sirohey and A. Rosenfeld, "Eye detection in a face image using linear and nonlinear filter", Pattern Recognition 34 (2001) 1367– 1391.
  13. K. M. Lam and H. Yan, "Locating and extracting the eye in human face images", Pattern Recognition. 29 (1996) 771–779.
  14. A. Pentland, B. Moghaddam and T. Starner, "View-based and modular eigenspaces for face recognition", Proceeding. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'94) , Seattle, WA, 1994
  15. X. Xie, R. Sudhakar and H. Zhuang, "On improving eye feature extraction using deformable templates", Pattern Recognition. 27 (1994) 791–799
  16. A. L. Yuille, P. W. Hallinan and D. S. Cohen, "Feature extraction from faces using deformable templates", International. Journal,Computer. Vision 8 (2) (1992) 99–111.
Index Terms

Computer Science
Information Sciences

Keywords

Gradient Accumulation array Circular Hough Transform Computer vision