ANALYSIS OF GRAY-LEVEL HISTOGRAMS BY USING STATISTICAL-METHODS FOR MIXTURES OF DISTRIBUTIONS

被引：8

作者：

JANSEN, RC

REININK, K

VANDERHEIJDEN, GWAM

机构：

[1] Centre for Plant Breeding and Reproduction Research (CPRO-DLO), 6700 AA Wageningen

来源：

PATTERN RECOGNITION LETTERS | 1993年 / 14卷 / 07期

关键词：

EM-ALGORITHM; GRAY LEVEL HISTOGRAM; IMAGE ANALYSIS; MAXIMUM LIKELIHOOD; MIXTURES OF LOGNORMAL DISTRIBUTIONS; ROBUST PARAMETER ESTIMATION;

D O I：

10.1016/0167-8655(93)90109-Q

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An automatic procedure to estimate proportions of components from grey level histograms is proposed. This procedure is based on statistical methods for parameter estimation in mixtures of normal distributions by maximum likelihood. The major advantage is that proportions of components can be estimated properly even when the grey level distributions of the components overlap considerably.

引用

页码：585 / 590

页数：6