Classifying Visual Objects with the Consistency-Driven Pairwise Comparisons Method

• Autorzy: Koczkodaj, W. W. , Robidoux, N. , Tadeusiewicz, R.
• Języki publikacji: EN

Abstrakty

EN

The classification of the various image features or visual objects can be carried out by the consistency-driven pairwise comparisons method based on their relative importance. A key issue in the proposed approach is a weight-based synthesis for combining various image features. When compared with the traditional experience-based linear assignment method, the proposed approach is more effective and easy to communicate.

Słowa kluczowe

EN

machine vision; visual object; pairwise comparison; inconsistency analysis; content-based image retrieval (CBIR)

• Czasopismo: Machine Graphics and Vision
• Rocznik: 2009
• Tom: Vol. 18, No. 2
• Strony: 143-154
• Opis fizyczny: Bibliogr. 12 poz., il., wykr.

Twórcy

autor

Koczkodaj, W. W.

autor

Robidoux, N.

autor

Tadeusiewicz, R.

• Laurentian University, Department of Mathematics and Computer Science, Sudbury ON P3E 2C6

Bibliografia

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