DocumentCode
2478856
Title
Coin detection by mobile devices
Author
Lin, Wu-Ja ; Tseng, Chih-Wei
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Formosa Univ., Yunlin, Taiwan
fYear
2012
fDate
13-16 May 2012
Firstpage
707
Lastpage
711
Abstract
In this manuscript, a system which automatically measures the number of coins by using mobile devices is proposed. The proposed system converts the color space of captured image from RGB to Lab, applies feature-preserving clustering algorithm to quantize the transformed image plane, finds edges and circles in quantized image, and finally determines the number of coins. The experimental results show that the proposed system can successfully detect coins in the given images.
Keywords
mobile handsets; object detection; RGB; captured image; coin detection; color space; feature-preserving clustering algorithm; image plane transformation; mobile devices; Clustering algorithms; Detectors; Image color analysis; Image edge detection; Mobile handsets; Quantization; Smoothing methods; Hough transform; coin detection; feature-preserving clustering; mobile devices;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International
Conference_Location
Graz
ISSN
1091-5281
Print_ISBN
978-1-4577-1773-4
Type
conf
DOI
10.1109/I2MTC.2012.6229307
Filename
6229307
Link To Document