Tactile imaging using watershed-based image segmentation

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Tactile imaging using watershed-based image segmentation

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ACM SIGACCESS Conference on Assistive Technologies archive
Proceedings of the fourth international ACM conference on Assistive technologies table of contents

Arlington, Virginia, United States

Pages: 26 - 33

Year of Publication: 2000

ISBN:1-58113-314-8

Authors

Sergio E. Hernandez	Department of Electrical and Computer Engineering, University of Delaware, Newark, DE
Kenneth E. Barner	Department of Electrical and Computer Engineering, University of Delaware, Newark, DE

Sponsor

SIGCAPH: ACM SIGCAPH Computers and the Physically Handicapped

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 13, Downloads (12 Months): 69, Citation Count: 3

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	N. R. Pal and S. K. Pal, "A review on image segmen-tation techniques," Pattern Recognition, vol. 26, no. 9, pp. 1277-1294, 1993.
	2	S. Beucher and F. Meyer, "The morphological approach to segmentation: The watershed transformation," in Mathematical Morphology in Image Processing, Edward R. Dougherty, Ed., pp. 433-481. Marcel Dekker, Rochester, NY, 1993.
	3	Luc Vincent , Pierre Soille, Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.13 n.6, p.583-598, June 1991 [doi>10.1109/34.87344 ]
	4	K. Haris, S.N. Efstratiadis, N. Maglaveras, and A.K. Katsaggelos, "Hybrid image segmentation using water-shed and fast region merging," IEEE Trans. Img. Proc., vol. 7, no. 12, Dec. 1998.
	5	J. M. Gauch, "Image segmentation and analysis via multiscale gradient watershed hierarchies," IEEE Trans. Img. Proc., vol. 8, no. 1, Jan. 1999.
	6	D. Wang, "A multiscale gradient algorithm for image segmentation using watersheds," Pattern Recognition, vol. 30, no. 12, pp. 2043-2052, Dec. 1997.
	7	Anil K. Jain, Fundamentals of digital image processing, Prentice-Hall, Inc., Upper Saddle River, NJ, 1989
	8	N. C. Gallagher, Jr. and G. L. Wise, "A theoretical anal-ysis of the properties of median filtrers," IEEE Trans. Acoust., Spch., and Sig. Proc., vol. 29, no. 12, pp. 1136- 1141, Dec. 1981.
	9	S. E. Hernandez and K. E. Barner, "Region merging us-ing homogeneity and edge integrity for watershed-based image segmentation," (submitted to) IEEE Transactions on Image Processing, Dec. 1999.
	10	T. P. Way and K. E. Barner, "Automatic visual to tactile translation, part II: Evaluation of the tactile image creation system," IEEE Trans. Rehab. Eng., vol. 5, no. 3, pp. 95-105, Mar. 1997.
	11	J. Siddique and K. E. Barner, "Wavelet-based multires-olution edge detection utilizing gray level edge maps," in Proceedings of the IEEE International Conference on Image Processing (ICIP), Chicago, IL, Oct. 1998.

CITED BY 3

	Joan M. Francioni , Ann C. Smith, Computer science accessibility for students with visual disabilities, ACM SIGCSE Bulletin, v.34 n.1, March 2002
	Stephen E. Krufka , Kenneth E. Barner, Automatic production of tactile graphics from scalable vector graphics, Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility, October 09-12, 2005, Baltimore, MD, USA
	Thierry Pun , Patrick Roth , Guido Bologna , Konstantinos Moustakas , Dimitrios Tzovaras, Image and video processing for visually handicapped people, Journal on Image and Video Processing, v.7 n.5, p.1-12, January 2007