Metric of global texture direction Based on wavelet modulus maxima threshold selection and Power Spectrum
Ye Chen, Peng Jin, Xiaoping Yuan
Available Online March 2017.
- https://doi.org/10.2991/ifmca-16.2017.29How to use a DOI?
- Texture orientation , Gabor Filter, Global texture direction, Feature extraction
- The present study proposes a metric algorithm for image texture orientation to establish the corresponding mathematical model. First, the image power spectrum is obtained through wavelet maximum edge detection and edge expansion of the texture image. Then threshold image power is set to acquire multiple sets of texture power vector. Then the sum of texture power vector sets makes global power vector, quantitative value of global texture direction. At last, precision of sector and global texture direction under different threshold values is tested on multiple linear stripe and wood texture images. Test results on these two texture databases have a high consistency with human visual perception. It can be concluded that the proposed metric algorithm of texture direction measurement can satisfy the need of high accuracy of man-machine texture recognition model.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ye Chen AU - Peng Jin AU - Xiaoping Yuan PY - 2017/03 DA - 2017/03 TI - Metric of global texture direction Based on wavelet modulus maxima threshold selection and Power Spectrum BT - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016) PB - Atlantis Press SP - 179 EP - 184 SN - 2352-5401 UR - https://doi.org/10.2991/ifmca-16.2017.29 DO - https://doi.org/10.2991/ifmca-16.2017.29 ID - Chen2017/03 ER -