1 January 1995 Analysis and comparison of space/spatial-frequency and multiscale methods for texture segmentation
Yue Min Zhu, Robert Goutte
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Abstract
We investigate the use of space/spatial-frequency and multiscale analysis methods for texture segmentation, with emphasis on the two-dimensional Wigner-Ville distribution and Morlet wavelet transform. For these two methods, the discrete versions that are necessary for numerical implementations are discussed. Texture segmentation paradigms making use of local spectral measurements from these two types of representations are described. The interest of the proposed spatial-frequency-and scale-based segmentation methods is illustrated with the aid of examples on both synthesized and natural images, and their segmentation performance is analyzed and compared.
Yue Min Zhu and Robert Goutte "Analysis and comparison of space/spatial-frequency and multiscale methods for texture segmentation," Optical Engineering 34(1), (1 January 1995). https://doi.org/10.1117/12.188312
Published: 1 January 1995
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CITATIONS
Cited by 16 scholarly publications.
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KEYWORDS
Image segmentation

Spatial frequencies

Wavelets

Wavelet transforms

Image analysis

Transform theory

Visualization

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