Research Article
Rock Classification via a Mobile Device
@INPROCEEDINGS{10.1109/ChinaCom.2012.6417566, author={Chia-Hsiang Wu and Jiann-Shu Lee and Chin-Yin Shie and Mei-Yun Su}, title={Rock Classification via a Mobile Device}, proceedings={International Workshop on Intelligent Multimedia Computing and Communications}, publisher={IEEE}, proceedings_a={IWIMCC}, year={2012}, month={10}, keywords={ubiquitous computing mobile phone rock classification}, doi={10.1109/ChinaCom.2012.6417566} }- Chia-Hsiang Wu
Jiann-Shu Lee
Chin-Yin Shie
Mei-Yun Su
Year: 2012
Rock Classification via a Mobile Device
IWIMCC
IEEE
DOI: 10.1109/ChinaCom.2012.6417566
Abstract
Mobile devices have been widely used to facilitate information exchanges and help our daily lives. In this paper, we present a rock classification system based on mobile environment. This system consists of a mobile phone and a remote server. First, the mobile phone is used to image rocks, due to the convenience in viewing and checking the captured images. However, it is difficult to automatically recognize the rocks in the phone because of insufficient computing capability. Therefore, the users can select and submit crucial images to a remote server in order to classify the type of rocks. The classification task is carried out by feature extraction, followed by a neural network–based classifier. The texture features consists of color, directionality, and granularity. With the extracted features, an ANFIS classifier is used to accomplish the recognition task. The experimental results show that our system can successfully classify rocks and achieve the ubiquitous rock classification task.
