DocumentCode :
433067
Title :
The saliency grouping field
Author :
Pilu, Muurizio
Author_Institution :
HP Labs. Europe, Bristol, UK
Volume :
4
fYear :
2004
fDate :
24-27 Oct. 2004
Firstpage :
2307
Abstract :
A saliency map specifies the relevance of locations in an image and good methods exist today for recovering it automatically in a bottom-up fashion. This paper addresses the problem of finding organization in an actual saliency map of everyday images through a grouping field in order to elicit structure that can be used for a variety of purposes. After calculating the saliency using a version of the Itti et al. model, we retain only the maxima of the map as features. Then we calculate an initial grouping field by convolving the salient locations with orientation-selective grouping kernels. Finally we iteratively reinforce the field to enhance perceptually salient components.
Keywords :
image enhancement; iterative methods; elicit structure; image enhancement; image mapping; iterative method; maxima; orientation-selective grouping kernel; salient component; Biological system modeling; Context modeling; Europe; Gabor filters; Kernel; Pixel; Taxonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-8554-3
Type :
conf
DOI :
10.1109/ICIP.2004.1421561
Filename :
1421561
Link To Document :
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