Computational model for texture perception with chromatic and achromatic images

K. S. Ramanujan, Thomas V. Papathomas, Andrei Gorea

Research output: Contribution to journalConference articlepeer-review

Abstract

We have developed a new computational model for texture perception which is physiologically plausible and mimics human performance. Our model tries to simulate the visual processing characteristics by incorporating mechanisms tuned to detect luminance, orientation, spatial-frequency and color, which are characteristic features of any textural image. We obtained a very good correlation between human performance and our model simulations with various strategic texture patterns. The highlights of our model are incorporation of chromatic mechanisms to treat color images, in addition to grey-level ones, and the extension of the concept of double-opponency beyond color. The model could be utilized in the area of image processing, machine vision and pattern recognition, and scientific visualization.

Original languageEnglish (US)
Pages (from-to)702-703
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume16
Issue numberpt 1
StatePublished - 1994
EventProceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2) - Baltimore, MD, USA
Duration: Nov 3 1994Nov 6 1994

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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