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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International
Conference_Location :
Graz
Print_ISBN :
978-1-4577-1773-4
DOI :
10.1109/I2MTC.2012.6229307
