Image Edge Detection Applying the Toll Set and Entropy Concepts


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 3, No. 3, pp. 471-477, Apr. 1996
10.3745/KIPSTE.1996.3.3.471,   PDF Download:

Abstract

An image edge detection method based on the toll set concept is proposed. Initially the edge structure is established for an image following human perception model. Then toll set membership values are computed and the toll set intersection and union operators are applied to them. The final toll set membership values are normalized to get the vagueness degrees and the thresholding operation based on entropy concept is performed on them to determine the edge of an image.


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Cite this article
[IEEE Style]
C. D. Uk, "Image Edge Detection Applying the Toll Set and Entropy Concepts," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 3, no. 3, pp. 471-477, 1996. DOI: 10.3745/KIPSTE.1996.3.3.471.

[ACM Style]
Cho Dong Uk. 1996. Image Edge Detection Applying the Toll Set and Entropy Concepts. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 3, 3, (1996), 471-477. DOI: 10.3745/KIPSTE.1996.3.3.471.