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Multi-scale saliency search in image analysis.
Author(s) -
Alexander Slepoy,
Anthony Campisi,
Alejandro Backer
Publication year - 2005
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/875629
Subject(s) - artificial intelligence , computer science , image (mathematics) , computer vision , scale (ratio) , machine vision , software , pattern recognition (psychology) , geography , cartography , programming language
Saliency detection in images is an important outstanding problem both in machine vision design and the understanding of human vision mechanisms. Recently, seminal work by Itti and Koch resulted in an effective saliency-detection algorithm. We reproduce the original algorithm in a software application Vision and explore its limitations. We propose extensions to the algorithm that promise to improve performance in the case of difficult-to-detect objects

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