Quantification and abstraction: low level tokens for object extraction

Amnon Meisels, Ofer Hason, Hedva Hess

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


A paradigm for the abstraction of digital data into symbolic tokens that take part in object extraction is described. The low level processes of abstraction deal with the construction of tokens, and with knowledgebased choice of thresholds for all quantities that are involved in object extraction. These processes that transform digital data into symbolic, abstract tokens and descriptions are controlled by a higher level symbolic process that uses reasoning. A detailed description is presented of the generation and correction of two kinds of intermediate level tokens: line segments and uniform blobs. The construction of contextual segments from these tokens in the experiment is based on their symbolic description, as well as on the adaptive and symbolic description of all relevant quantities.

Original languageEnglish
Pages (from-to)151-159
Number of pages9
JournalImage and Vision Computing
Issue number3
StatePublished - Jun 1991
Externally publishedYes


  • Image interpretation
  • intermediate-level vision image tokens


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