Morphological scale-space preserving transforms in many dimensions

被引：60

作者：

Bangham, JA

Harvey, R

Ling, PD

Aldridge, RV

机构：

[1] University of East Anglia, School of Information Systems

来源：

JOURNAL OF ELECTRONIC IMAGING | 1996年 / 5卷 / 03期

关键词：

D O I：

10.1117/12.243349

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The theory of an image decomposition that we refer to as a sieve is developed for images defined in any finite number of dimensions. The decomposition has many desirable properties including the preservation of scale-space causality and the localization of sharp-edged objects in the transformation domain. The decomposition has the additional properties of manipulability, which means that it is easy to construct pattern recognition systems, and scale-calibration, which means that it may be used for accurate measurement. (C) 1996 SPIE and IS&T.

引用

页码：283 / 299

页数：17

共 37 条

[1]

BANGHAM JA, 1994, SIGNAL PROCESS, V38, P387, DOI 10.1016/0165-1684(94)90156-2

[2] Multiscale nonlinear decomposition: The sieve decomposition theorem [J].