DocumentCode
606065
Title
Flower search by image on mobile phone
Author
Sunpetchniyom, T. ; Watanapa, S. ; Siricharoenchai, R.
Author_Institution
Dept. of Comput. Sci., Thammasat Univ., Pathum Thani, Thailand
fYear
2012
fDate
23-25 Oct. 2012
Firstpage
819
Lastpage
823
Abstract
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 featurewas 47.31% with SURF vectors S=25. We combine both color and shape features to achieved accuracy 61.61%.
Keywords
feature extraction; image colour analysis; image retrieval; mobile handsets; visual databases; HSV histogram; SURF vectors; color feature; database; flower search; image search system; mobile phone; shape-based feature; test images; training images; Computer vision; Flower retrieval; Flower search; HSV; Image processing; Mobile phone; RGB; SIFT; SURF; Smart phone;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
Conference_Location
Taipei
Print_ISBN
978-1-4673-0876-2
Type
conf
Filename
6528745
Link To Document