Hierarchical texture segmentation

P. Bajcsy, N. Ahuja

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a new hierarchical texture segmentation method that partitions an image into textured regions. A textured region is viewed as a set of uniformly distributed primitives. A primitive is a region with constant gray values. Gray values within a primitive can be corrupted by noise. Any noisy primitive contains gray values from a 5-wide interval (δ-homogeneous primitive). The noisy primitive is described by the sample mean of interior gray values. A textured region with noise is characterized by a set of gray value sample means (texture vector) derived from noisy primitives. Every pixel (sample point) and its neighborhood give rise to an estimate of texture vector. Components of the estimated vector at a pixel characterize noisy primitives of a textured region grown from the pixel. Co-occurrence of noisy primitives from this grown region are calculated. Final segmentation is obtained by grouping pixets with identical estimates of texture vectors and co-occurrences, created at each plxel. Homogeneity degree and of noisy primitives provides a basis for multiscale analysis. Computational ejficiency and robustness of the proposed method are related. Experiments are reported for synthetic textures as well as real textures from Brodatz album and real gray scale and color images.

Original languageEnglish (US)
Title of host publicationComputer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings
EditorsRoland Chin, Ting-Chuen Pong
PublisherSpringer-Verlag
Pages291-298
Number of pages8
ISBN (Print)3540639314, 9783540639312
StatePublished - Jan 1 1997
Externally publishedYes
Event3rd Asian Conference on Computer Vision, ACCV 1998 - Hong Kong, Hong Kong
Duration: Jan 8 1998Jan 10 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1352
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd Asian Conference on Computer Vision, ACCV 1998
CountryHong Kong
CityHong Kong
Period1/8/981/10/98

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Bajcsy, P., & Ahuja, N. (1997). Hierarchical texture segmentation. In R. Chin, & T-C. Pong (Eds.), Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings (pp. 291-298). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1352). Springer-Verlag.