Flower search by image on mobile phone

机译：在手机上通过图像搜索花朵

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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%.

机译：我们提出了一种用于手机上花朵的图像搜索系统。就CPU，RAM和数据存储而言，移动电话比台式计算机具有更多的有限资源。我们创建的数据库有45个类。我们使用了182个训练图像和246个测试图像。我们使用HSV直方图作为颜色特征。仅使用颜色特征的准确率是44.86％，半径C = 20。我们使用SURF作为形状特征。仅SURF向量S = 25，仅使用基于形状的特征的准确率为47.31％。我们将颜色和形状特征结合在一起，以达到61.61％的精度。

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来源
《2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining》|2012年|819-823|共5页
会议地点 Taipei(CT)
作者
Sunpetchniyom Treepop; Watanapa Saowaluk; Siricharoenchai Rungkarn;
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作者单位

MaChi-Lab (Multimedia Analysis Computer Human Interaction Lab), Department of Computer Science, Faculty of Science Technology, Thammasat University, Thailandc;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Computer vision; Flower retrieval; Flower search; HSV; Image processing; Mobile phone; RGB; SIFT; SURF; Smart phone;

机译：计算机视觉；花朵检索；花朵搜索； HSV；图像处理；手机； RGB； SIFT； SURF；智能手机；;

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4. Flower search by image on mobile phone [C] . Sunpetchniyom Treepop, Watanapa Saowaluk, Siricharoenchai Rungkarn International Conference on New Trends in Information Science, Service Science and Data Mining . 2012

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5. Mobile phones and rural livelihoods: An exploration of mobile phone diffusion, uses, and perceived impacts of uses among small- to medium-size farm holders in Kamuli District, Uganda. [D] . Martin, Brandie Lee. 2010

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6. Recognition of Cosmic Ray Images Obtained from CMOS Sensors Used in Mobile Phones by Approximation of Uncertain Class Assignment with Deep Convolutional Neural Network [O] . Tomasz Hachaj, Łukasz Bibrzycki, Marcin Piekarczyk 2021

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7. Search in WikiImages using mobile phone [O] . Havasi, László Rajmund, Szabó, Mihály, Pataki, Máté, 2013

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Flower search by image on mobile phone

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