An orientation and resolution independent texture classifier in segmentation of images of unknown rotation and scale

Jia You, H. A. Cohen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This paper describes an orientation and resolution insensitive texture classifier for demarcating regions of common texture within an rotated and/or scaled image. The algorithm involves a mask 'tuning' process performed over equal size pure texture samples in the multi-orientation and multi-scale data set via a two-dimensional linked-list. The development of a guided random search approach for parameter optimization is detailed and the segmentation results of collages of Brodatz textures are provided.
Original languageEnglish
Title of host publicationIAPR 1992 - 11th IAPR International Conference on Pattern Recognition
Subtitle of host publicationImage, Speech, and Signal Analysis
PublisherIEEE
Pages49-52
Number of pages4
Volume3
ISBN (Electronic)0818629207
DOIs
Publication statusPublished - 1 Jan 1992
Externally publishedYes
Event11th IAPR International Conference on Pattern Recognition, IAPR 1992 - The Hague, Netherlands
Duration: 30 Aug 19921 Sep 1992

Conference

Conference11th IAPR International Conference on Pattern Recognition, IAPR 1992
CountryNetherlands
CityThe Hague
Period30/08/921/09/92

Keywords

  • Classifier
  • Convolution
  • Feature extraction
  • Image segmentation
  • Texture discrimination
  • Texture energy
  • Tuned mask

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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