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Title: Multi-scale saliency search in image analysis.


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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Publication Date:
Research Org.:
Sandia National Laboratories
Sponsoring Org.:
OSTI Identifier:
Report Number(s):
TRN: US200603%%274
DOE Contract Number:
Resource Type:
Technical Report
Country of Publication:
United States

Citation Formats

Slepoy, Alexander, Campisi, Anthony, and Backer, Alejandro. Multi-scale saliency search in image analysis.. United States: N. p., 2005. Web. doi:10.2172/875629.
Slepoy, Alexander, Campisi, Anthony, & Backer, Alejandro. Multi-scale saliency search in image analysis.. United States. doi:10.2172/875629.
Slepoy, Alexander, Campisi, Anthony, and Backer, Alejandro. 2005. "Multi-scale saliency search in image analysis.". United States. doi:10.2172/875629.
title = {Multi-scale saliency search in image analysis.},
author = {Slepoy, Alexander and Campisi, Anthony and Backer, Alejandro},
abstractNote = {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.},
doi = {10.2172/875629},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2005,
month =

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