DocumentCode
3060653
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
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
53
Lastpage
56
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICPR.1992.201926
Filename
201926
Link To Document