A multi-scale texture classifier based on multi-resolution 'tuned' mask

H. A. Cohen, Jia You

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

Using a multi-resolution texture 'tuned' mask, we have realized a multi-scale texture classifier for effective segmentation of collages of Brodatz textures at various scales. Our mask tuning optimizes a performance index via a guided random search over a range of scales using a dynamic data structure.
Original languageEnglish
Pages (from-to)599-604
Number of pages6
JournalPattern Recognition Letters
Volume13
Issue number8
DOIs
Publication statusPublished - 1 Jan 1992

Keywords

  • classifier
  • convolution
  • image segmentation
  • Multi-scale
  • texture discrimination
  • texture energy
  • tuned mask

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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