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
Country/TerritoryNetherlands
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

Fingerprint

Dive into the research topics of 'An orientation and resolution independent texture classifier in segmentation of images of unknown rotation and scale'. Together they form a unique fingerprint.

Cite this