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
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;
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2011.6116635