Title :
Textural boundary detection using local spatial frequency analysis
Author :
Zhu, Yue Min ; Gao, Ying ; Goutte, Robert ; Amiel, Michel
Author_Institution :
CNRS, INSA de Lyon, Villeurbanne, France
fDate :
30 Aug-3 Sep 1992
Abstract :
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
Keywords :
feature extraction; image texture; feature extraction; feature parameter value; local spatial frequency analysis; natural textural images; spectral domain; textural boundary detection; two-dimensional Wigner distribution; Books; Image coding; Image segmentation; Image texture analysis; Object detection; Object recognition; Psychology; Time frequency analysis; Tin; Visual system;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.201926
