DocumentCode
2835158
Title
High resolution biologically inspired salient region detection
Author
Saber, Yusuf ; Kyan, Matthew
Author_Institution
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada
fYear
2011
fDate
11-14 Sept. 2011
Firstpage
649
Lastpage
652
Abstract
This paper presents a novel method for salient region detection. With the same biologically inspired logic as Itti et al., we use wavelet decomposition to obtain a ´centre´ scale, and filtered versions of the original image for the ´surround´ scale. Our method yields saliency map that is of the same resolution of the investigated image, with a detailed outline and high- light of the salient object. Previous methods are discussed in detail and comparisons are made as a validation process for our method.
Keywords
filtering theory; image recognition; image resolution; wavelet transforms; biologically inspired logic; filtered version; high resolution biologically inspired salient region detection; image resolution; saliency map; wavelet decomposition; Approximation methods; Biology; Conferences; Gray-scale; Image color analysis; Image resolution; Saliency; human visual system; visual attention; wavelets;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location
Brussels
ISSN
1522-4880
Print_ISBN
978-1-4577-1304-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2011.6116635
Filename
6116635
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