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Automatic extraction of salient objects using feature maps

Authors
Park, Ki taeMoon, Young shik
Issue Date
Apr-2007
Publisher
IEEE
Keywords
Combination map; Feature map; Reference map; Salient object extraction; Segmentation
Citation
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, v.1, pp I617 - I620
Indexed
SCIE
SCOPUS
Journal Title
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
Volume
1
Start Page
I617
End Page
I620
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/44243
DOI
10.1109/ICASSP.2007.365983
ISSN
1520-6149
2379-190X
Abstract
In this paper, we propose a technique for extracting salient objects in images using feature maps, regardless of the complexity of images and the position of objects. In order to extract salient, objects, the proposed method uses feature maps with edge and color information, We also propose a reference map created by integrating feature maps, and a combination map representing the boundaries of meaningful objects that is created by integrating the reference map and feature maps. Candidate object regions including, boundaries of objects from the combination map are extracted by convex hull algorithm. Finally, by applying a segmentation algorithm on the area of candidate regions, object regions and background regions are separated, and real object regions are extracted from the candidate object regions. Experimental results show that the proposed method extracts the salient objects efficiently, with 84.3% precision rate and 81.3% recall rate. © 2007 IEEE.
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