Thresholding Based on Fuzzy Partition of Two-Dimensional Histogram

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Venue:
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Year:
1998

Citing 1
Cited 1

A survey of thresholding techniques

Computer Vision, Graphics, and Image Processing

A Method for Automatic Membership Function Estimation Based on Fuzzy Measures

IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing

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Abstract

Thresholding is an important topic of image processing. This paper proposes a thresholding approach by performing a fuzzy partition on a 2D histogram of the image. The 2D fuzzy partition method and membership assignment are based on fuzzy relation of two fuzzy sets, which is characterized by a set of parameters (a, b, c). The proposed approach has been tested on various images, and the results have demonstrated that the proposed 2D fuzzy approach outperforms the 2D nonfuzzy approach and the 1D fuzzy approach.