A new thresholding technique based on random sets

被引：15

作者：

Friel, N ^{[1
]}

Molchanov, IS ^{[1
]}

机构：

[1] Univ Glasgow, Dept Stat, Glasgow G12 8QW, Lanark, Scotland

来源：

PATTERN RECOGNITION | 1999年 / 32卷 / 09期

关键词：

distance function; grey-scale images; random sets; threshold;

D O I：

10.1016/S0031-3203(99)00017-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a new technique for grey-scale image thresholding. Vital to this paper is the idea that each grey-scale image gives rise to the distribution of a random set. Our new thresholded set appears as an expectation of a random set generated from an image. This expectation is defined using binary distance transforms in such a way that the distance transform of the thresholded binary image mimics (in some sense) the average distance transform for varying threshold level. (C) 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

引用

页码：1507 / 1517

页数：11

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