Title: | Rock Image Classification Using Non-Homogenous Textures and Spectral Imaging |
Authors: | Lepistö, Leena Kunttu, Iivari Autio, Jorma Visa, Ari |
Citation: | WSCG ’2003: Short papers: The 11-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2003, 3.-7, p. 82-86. |
Issue Date: | 2003 |
Publisher: | UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://wscg.zcu.cz/wscg2003/Papers_2003/D43.pdf http://hdl.handle.net/11025/6168 |
ISBN: | 80-903100-1-X |
Keywords: | klasifikace textur;nehomogenní textury;spektrální zobrazování;skála |
Keywords in different language: | texture classification;non-homogenous texture;spectral imaging;rock |
Abstract: | Texture analysis and classification are usual tasks in pattern recognition. Rock texture is a demanding classification task, because the texture is often non-hom ogenous. In this paper, we introduce a rock texture classification method, which is based on textural and spectral features of the rock. The spectral features are considered as some color parameters whereas the textural features are calculated from the co-occurrence matrix. In this classification method, non-homogenous texture imag es are divided into blocks. The feature values are calculated for each block separately. In this way, the feature values of the texture image can be presented as a feature histogram. The classification method is tested using two types of rock textures. The experimental results show that the proposed features are able to distinguish rock textures quite well. |
Rights: | © UNION Agency |
Appears in Collections: | WSCG '2003: Short papers |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/6168
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