An OOPR-based rose variety recognition system

被引：8

作者：

Miao, ZJ ^{[1
]}

Gandelin, MH ^{[1
]}

Yuan, BZ ^{[1
]}

机构：

[1] Beijing Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China

来源：

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2006年 / 19卷 / 01期

关键词：

pattern recognition; intelligent systems; image processing; color image; artificial intelligence; image segmentation;

D O I：

10.1016/j.engappai.2005.05.009

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes a rose analysis and recognition system and presents the main principles used to realize the recognition system. The major principles presented in this paper are the mathematical description methods for rose features such as shape, size and color of the flower, petal, leaf, etc, and the object-oriented pattern recognition (OOPR) approach which mathematically deals with how to comprehensively use all different rose features rationally in the recognition scheme. The recognition system is described and some of its experimental results are given which demonstrate the efficiency of our methods. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：79 / 101

页数：23

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