Identification process of corn and barley kernels damages using neural image analysis

被引：32

作者：

Nowakowski, K. ^{[1
]}

Boniecki, P. ^{[1
]}

Tomczak, R. J. ^{[1
]}

Raba, B. ^{[1
]}

机构：

[1] Poznan Univ Life Sci, Dept Agr Engn, Poznan, Poland

来源：

THIRD INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2011) | 2011年 / 8009卷

关键词：

neural image analysis; artificial neural networks; image recognition;

D O I：

10.1117/12.896664

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The subject of the study was to develop a neural model for the identification of mechanical damage in grain caryopses based on digital photographs. The authors has selected a set of universal features that distinguish between damaged and healthy caryopses. The study has produced an artificial neural network of a multilayer perceptron type whose identification capacity approximates that of a human.

引用

页数：5