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Using Hidden Scale for Salient Object Detection.

Authors :
Chalmond, Bernard
Francesconi, Benjamin
Herbin, Stéphane
Source :
IEEE Transactions on Image Processing; Sep2006, Vol. 15 Issue 9, p2644-2656, 13p
Publication Year :
2006

Abstract

This paper describes a method for detecting salient regions in remote-sensed images, based on scale and contrast interaction. We consider the focus on salient structures as the first stage of an object detection/recognition algorithm, where the salient regions are those likely to contain objects of interest. Salient objects are modeled as spatially localized and contrasted structures with any kind of shape or size. Their detection exploits a probabilistic mixture model that takes two series of multiscale features as input, one that is more sensitive to contrast information, and one that is able to select scale. The model combines them to classify each pixel in salient/nonsalient class, giving a binary segmentation of the image. The few parameters are learned with an EM-type algorithm. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10577149
Volume :
15
Issue :
9
Database :
Complementary Index
Journal :
IEEE Transactions on Image Processing
Publication Type :
Academic Journal
Accession number :
22207499
Full Text :
https://doi.org/10.1109/TIP.2006.877380