Fuzzy Set Methods in Computer Vision-Reference-Cited by-同舟云学术

Fuzzy Set Methods in Computer Vision

Published:1992 Issue: Volume: Page:121-145
ISSN:
Container-title:An Introduction to Fuzzy Logic Applications in Intelligent Systems
language:
Short-container-title:

Author:

Keller James M.,Krishnapuram Raghu

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-1-4615-3640-6_6

Reference58 articles.

1. J.M. Prewitt, “Object enhancement and extraction”, inPicture Processing and PsychopictoricsB.S. Lipkin and A. Rosenfield (Eds.), Academic Press, New York, 1970, pp. 75–149.

2. S.K. Pal, and RA. King. “Image enhancement using smoothing with fuzzy sets,”IEEE Transactions on System. Man and CyberneticsVol. SMC-11, 1981, pp. 494–501.

3. S.K. Pal, and RA. King. “Histogram equalization withSand x functions in detecting x-ray edges”Electronics LettersVol. 17, 1981, pp. 302–304.

4. S.K. Pal, and R.A. King. “On edge detection of x-ray images using fuzzy sets,”IEEE Transactions on Pattern Analysis and Machine IntelligenceVol. PAMI5, 1983, pp. 69–77.

5. J. Keller, H. Qiu, and H. Tahani, “The fuzzy integral in image segmentation,”Proceedings. NAFIPS-86New Orleans, June 1986, pp. 324–338.

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