Moment-preserving thresholding: a new approach.

Wen-Hsiang Tsai

doi:10.1016/0734-189X(85)90133-1

Moment-preserving thresholding: a new approach.

Wen-Hsiang Tsai

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

782 Scopus citations

Abstract

A new approach to automatic threshold selection using the moment-preserving principle is proposed. The threshold values are computed to preserve the moments of an input picture in the output picture. Experimental results show that the approach can be employed to threshold a given picture into meaningful gray-level classes. The approach is described for global thresholding, but can be used for local thresholding as well.-after Author

Original language	English
Pages (from-to)	377-393
Number of pages	17
Journal	Computer Vision, Graphics, & Image Processing
Volume	29
Issue number	3
DOIs	https://doi.org/10.1016/0734-189X(85)90133-1
State	Published - 1 Jan 1985

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10.1016/0734-189X(85)90133-1

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title = "Moment-preserving thresholding: a new approach.",

abstract = "A new approach to automatic threshold selection using the moment-preserving principle is proposed. The threshold values are computed to preserve the moments of an input picture in the output picture. Experimental results show that the approach can be employed to threshold a given picture into meaningful gray-level classes. The approach is described for global thresholding, but can be used for local thresholding as well.-after Author",

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AB - A new approach to automatic threshold selection using the moment-preserving principle is proposed. The threshold values are computed to preserve the moments of an input picture in the output picture. Experimental results show that the approach can be employed to threshold a given picture into meaningful gray-level classes. The approach is described for global thresholding, but can be used for local thresholding as well.-after Author

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Moment-preserving thresholding: a new approach.

Abstract

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