THRESHOLD SUPERPOSITION IN MORPHOLOGICAL IMAGE-ANALYSIS SYSTEMS

被引：69

作者：

MARAGOS, P

ZIFF, RD

机构：

[1] Division of Applied Sciences, Harvard University, Cambridge

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1990年 / 12卷 / 05期

基金：

美国国家科学基金会;

关键词：

Image analysis; mathematical morphology; thresholding;

D O I：

10.1109/34.55110

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this correspondence it is shown that many composite morphological systems, such as morphological edge detection, peak/ valley extraction, skeletonization, and shape-size distributions obey a weak linear superposition, called threshold-linear superposition. Namely, the output image signal or measurement from each system is the sum of outputs due to input binary images that result from thresholding the input gray-level image at all levels. Then these results are generalized to a vector space formulation, e.g., to any finite linear combination of simple morphological systems. Thus many such systems processing gray-level images are reduced to corresponding binary image processing systems, which are easier to analyze and implement. © 1990 IEEE

引用

页码：498 / 504

页数：7