A wavelet-based watershed image segmentation for VOP generation

被引：0
|
作者：
Kim, JB [1 ]
Kim, HJ [1 ]
机构：
[1] Kyungpook Natl Univ, Dept Comp Engn, Deagu, South Korea
来源：
16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL III, PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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. Second, region segmentation is used to segment the lowest-resolution image of the created multiresolution image. Third, 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.
引用
收藏
页码：505 / 508
页数：4
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