An edge extracting method of fuzzy thresholding value

Rui Gu; Ming Zhu

doi:10.1117/12.667951

20 January 2006 An edge extracting method of fuzzy thresholding value

Rui Gu, Ming Zhu

Proceedings Volume 6027, ICO20: Optical Information Processing; 60271E (2006) https://doi.org/10.1117/12.667951
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China

Abstract

This paper discusses image's object edge extracting of threshold value. First, this paper introduces fundamental principle of gray image object edge extracting, after discussing the influence of object edge image's gray scale distributing characteristic and choice of threshold value to character extracting and target identification, we bring forward a sort of method, which using object edge fuzzy taxonomy and maximum fuzzy entropy theory to auto choose threshold value in the case that membership function is given, then we have a test of threshold value segmentation to edge gray image in different contrast, the result indicates this method has preferable scene adaptive faculty.

Citation Download Citation

Rui Gu and Ming Zhu "An edge extracting method of fuzzy thresholding value", Proc. SPIE 6027, ICO20: Optical Information Processing, 60271E (20 January 2006); https://doi.org/10.1117/12.667951

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