RAGWEED DETECTION BASED ON SURF FEATURES

被引：0

作者：

Schiffer, Adam ^{[1
]}

Sari, Zoltan ^{[1
]}

Mueller, Peter ^{[1
]}

Jancskar, Ildiko ^{[1
]}

Varady, Geza ^{[1
]}

Ercsey, Zsolt ^{[2
]}

机构：

[1] Univ Pecs, Rokus 2, H-7624 Pecs, Hungary

[2] Univ Pecs, Boszorkany 2, H-7630 Pecs, Hungary

来源：

TEHNICKI VJESNIK-TECHNICAL GAZETTE | 2017年 / 24卷 / 05期

关键词：

feature detection; parameter study; ragweed; HEALTH;

D O I：

10.17559/TV-20150319092835

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The paper describes a parameter study corresponding to automatic detection of ragweed based on SURF features. The basic idea behind the method is to build a feature database from very simple ragweed samples containing characteristic features of the leaves of the plant, and compare the feature database to features extracted from natural images which contain or lack ragweed. The results of the study clearly show that the approach is promising and has value as a standalone method, or as a potential training basis for a classification expert system.

引用

页码：1519 / 1524

页数：6

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