Towards automated image understanding*
作者:
Ulf Grenander,
Daniel MacRae Keenan,
期刊:
Journal of Applied Statistics
(Taylor Available online 1993)
卷期:
Volume 20,
issue 5-6
页码: 89-103
ISSN:0266-4763
年代: 1993
DOI:10.1080/02664769300000060
出版商: Carfax Publishing Company
数据来源: Taylor
摘要:
In this paper, we discuss an approach to the pattern synthesis and analysis of biological shapes which show a lot of variability, but at the same time also show a characteristic structure. This structure is captured by way of ‘shape classes' which are constructed via a deformable template. Examples of pattern analysis in both two and three dimensions are presented. We define what we call intrinsic and extrinsic understanding of images and apply this to the detection of abnormalities.
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