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A wavelet-based watershed image segmentation for VOP generation | IEEE Conference Publication | IEEE Xplore
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A wavelet-based watershed image segmentation for VOP generation


Abstract:

This paper presents a wavelet-based watershed image segmentation method for extracting video objects from a video sequence. The method is based on a multiresolution appli...Show More

Abstract:

This paper presents a wavelet-based watershed image segmentation method for extracting video objects from a video sequence. The method is based on a multiresolution application of a wavelet and watershed transformation, followed by a wavelet coefficient-based region merging procedure. The procedure toward complete segmentation consists of four steps: pyramid representation, region segmentation, region merging, and region projection. First, the pyramid representation creates multiresolution images using a wavelet transform. Next, the region segmentation is used to segment the lowest-resolution image of the created multiresolution image. Then, the region merging is merged to segmented regions using the third-order central moment values of the wavelet coefficients. Finally, the region projection is used to recover a full-resolution image by inverse wavelet transform. Experimental results of the presented method can be applied to the segmentation of noise or degraded images and reduction of over-segmentation.
Date of Conference: 11-15 August 2002
Date Added to IEEE Xplore: 10 December 2002
Print ISBN:0-7695-1695-X
Print ISSN: 1051-4651
Conference Location: Quebec City, QC, Canada

References

References is not available for this document.