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
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;
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
