Automatic fruit recognition:: a survey and new results using range/attenuation images

被引：75

作者：

Jiménez, A

Jain, AK

Ceres, R

Pons, JL

机构：

[1] Inst Automat Ind CSIC, Madrid 28500, Spain

[2] Michigan State Univ, Dept Comp Sci, E Lansing, MI USA

来源：

PATTERN RECOGNITION | 1999年 / 32卷 / 10期

关键词：

range images; shape recognition; contour extraction; circular Hough transform; agriculture;

D O I：

10.1016/S0031-3203(98)00170-8

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 fruit recognition system and a review of previous fruit detection work are reported. The methodology presented is able to recognize spherical fruits in natural conditions facing difficult situations: shadows, bright areas, occlusions and overlapping fruits. The sensor used is a laser range-finder giving range/attenuation data of the sensed surface. The recognition system uses a laser range-finder model and a dual color/shape analysis algorithm to locate the fruit. The three-dimensional position of the fruit, radius and the reflectance are obtained after the recognition stages. Results for a set of artificial orange tree images and real-time considerations are presented. (C) 1999 Published by Elsevier Science Ltd on behalf of the Pattern Recognition Society. All rights reserved.

引用

页码：1719 / 1736

页数：18