Textural boundary detection using local spatial frequency analysis
Yuemin Zhu, Yuefang Gao, Robert Goutte, M. Amiel · 2003
A new method for the detection of textural boundaries in images is presented. The method consists of extracting texture features in the spectral domain by using the two-dimensional Wigner distribution (2D WD). A detection of the textural boundaries is readily achieved by replacing an image point by the corresponding feature parameter value calculated from the 2D WD. The algorithm is simple and can be efficiently implemented. Results are demonstrated on natural textural images.>