Paper
4 February 2011 Contourlet features for 3D surface texture classification and fusion
Xiuli Yang, Junyu Dong, Zuojuan Liang
Author Affiliations +
Proceedings Volume 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering; 77521M (2011) https://doi.org/10.1117/12.887963
Event: International Conference on Photonics and Image in Agricultural Engineering (PIAGENG 2010), 2010, Qingdao, China
Abstract
Contoulet-based features have been paid much attention in image processing applications such as image enhancement, edge detection, image fusion and image retrieval. In this paper, we present a novel approach which takes advantage of the multi-scale and multi-directional properties of the Contourlet transform to extract features of real-world rough surface texture. These features are effectively used for 3D surface texture classification and fusion. The classification scheme based on these features achieves good results even for those test samples not included in the training data sets. Three-dimensional surface texture fusion based on Contourlet can successfully preserve original texture patterns and retain the significant features of input images, which can generate fusion images under arbitrary illumination directions.
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Xiuli Yang, Junyu Dong, and Zuojuan Liang "Contourlet features for 3D surface texture classification and fusion", Proc. SPIE 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering, 77521M (4 February 2011); https://doi.org/10.1117/12.887963
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KEYWORDS
Image fusion

3D image processing

Image classification

Image filtering

Computed tomography

Feature extraction

Image processing

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