Flower Search by Image on Mobile Phone

被引：0

作者：

Sunpetchniyom, Treepop ^{[1
,2
]}

Watanapa, Saowaluk ^{[1
]}

Siricharoenchai, Rungkarn ^{[2
]}

机构：

[1] Thammasat Univ, MaChi Lab Multimedia Anal & Comp Human Interact L, Fac Sci & Technol, Dept Comp Sci, Bangkok, Thailand

[2] NSTDA, Image Technol Lab, NECTEC, Khlong Luang, Pathum Thani, Thailand

来源：

2012 6TH INTERNATIONAL CONFERENCE ON NEW TRENDS IN INFORMATION SCIENCE, SERVICE SCIENCE AND DATA MINING (ISSDM2012) | 2012年

关键词：

Image processing; Computer vision; Flower search; Flower retrieval; HSV; RGB; SIFT; SURF; Mobile phone; Smart phone;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose an image search system for flowers on a mobile phone. Mobile phones have more limited resources than desktop computers in terms of CPU, RAM and data storage. The database that we created has 45 classes. We used 182 training images and 246 test images. We used an HSV histogram as a color feature. The accuracy rate using only color features was 44.86% with radius C=20. We use SURF as a shape feature. The accuracy rate using only shape-based feature was 47.31% with SURF vectors S=25. We combine both color and shape features to achieved accuracy 61.61%.

引用

页码：819 / 823

页数：5

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