Semantic thresholding

Z. Aviad; E. Lozinskii

doi:10.1016/0167-8655(87)90073-0

Semantic thresholding

Z. Aviad^*
, E. Lozinskii

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

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

10 Scopus citations

Abstract

The use of thresholding to separate objects in an image is analyzed in the light of a notion that 'objects are in the eye of the beholder', i.e. the existence of objects in an image is subjective rather than objective. Interpretation of the term 'semantic' as an association of an observed entity with an (other) entity which can be used for communication, is combined with Whorf's hypothesis on influence of language on reasoning, to yield a thresholding method. The method is based on minimizing the ambiguity which results from the different contexts (local and global) in which grey levels are classified as dark or bright. Examples are supplied and compared to thresholds which are optimal in the L₂ norm.

Original language	English
Pages (from-to)	321-328
Number of pages	8
Journal	Pattern Recognition Letters
Volume	5
Issue number	5
DOIs	https://doi.org/10.1016/0167-8655(87)90073-0
State	Published - May 1987

Keywords

Thresholding
ideal images
semantic methods

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10.1016/0167-8655(87)90073-0

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KW - semantic methods

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Semantic thresholding

Abstract

Keywords

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