Segmenting images corrupted by correlated noise

被引：0
|
作者：
Lee, TCM
机构：
来源：
INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL I | 1997年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Image segmentation is fundamental to many image analysis problems. It aims to partition a digital image into a set of non-overlapping homogeneous regions. This paper briefly describes a new segmentation procedure which is designed to segment images corrupted by correlated noise. This procedure is based on Rissanen's minimum description length principle.
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页码：247 / 250
页数：4
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