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ICIAP
1999
ACM

Multiresolution Object-of-Interest Detection for Images with Low Depth of Field

10 years 11 days ago
Multiresolution Object-of-Interest Detection for Images with Low Depth of Field
This paper describes a novel multiresolution image segmentation algorithm for separating sharply focused objects-of-interest from other foreground or background objects in low depth of eld DOF images, such as sports, telephoto, macro, and microscopic images. The algorithm takes a multiscale context-dependent approach to segment images based on features extracted from wavelet coe cients in high frequency bands. The algorithm is fully automatic in that all parameters are image independent. Experiments with the algorithm on more than 100 low DOF images have shown results close to the human segmentation of these images. Besides high accuracy, the algorithm also provides high speed. A 768512 pixel image can be segmented within two seconds on a Pentium Pro 300MHz PC.
Jia Li, James Ze Wang, Robert M. Gray, Gio Wiederh
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1999
Where ICIAP
Authors Jia Li, James Ze Wang, Robert M. Gray, Gio Wiederhold
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