Abstract
In this letter, drawbacks of the classical algorithm to enhance the fuzzy contrast among adjacent regions are analyzed. Based on it, a new fuzzy enhancement algorithm and a linear fuzzy distribution that maps the gray images to corresponding generalized fuzzy set are proposed. Results of two examples illustrate that the algorithm is more effective and faster when used to detect the multi-level edges of images.
This is a preview of subscription content, log in via an institution to check access.
References
T. Peli, A study of edge detection algorithms, Computer Vision, Graphics and Image Processing, 20(1982)1, 1–21.
S. K. Pal, R. A. King, On edge detection of X-ray images using fuzzy sets, IEEE Trans. on Pattern Analysis and Machine Intelligence, 5(1983)1, 69–77.
S. K. Pal, R. A. King, Image enhancement using smoothing with fuzzy sets, IEEE Trans. on Syst., Man, Cybern., 11(1981)7, 494–501.
Y. Nakagawa, A. Rosenfeld, A note on the use of local min and max operations in digital picture processing, IEEE Trans. on Syst., Man, Cybern., 8(1978)8, 632–635.
Wufan Chen, A new algorithm of colour image edge detecting—Generalized fuzzy operator, Science in China(A), 25(1995)2, 219–224, (in Chinese).
Wang Hui, Zhang Jihong, An algorithm of edge detection based on fuzzy enhancement of contrast among successive regions, Acta Electronica Sinica, 28(2000)1, 45–47, (in Chinese).
Author information
Authors and Affiliations
Additional information
Supported by the Natural Science Foundation of GuangDong Province (NO.011750)
About this article
Cite this article
Wang, H. Multi-gray edge detection based on generalized fuzzy set. J. of Electron.(China) 19, 426–430 (2002). https://doi.org/10.1007/s11767-002-0077-0
Issue Date:
DOI: https://doi.org/10.1007/s11767-002-0077-0