Paper
5 January 1989 Reasoning With Uncertainty About Textures
Stanley M. Dunn, Karunakar Gulukota
Author Affiliations +
Proceedings Volume 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation; (1989) https://doi.org/10.1117/12.948924
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States
Abstract
This paper is a description of a framework for reasoning about textured scenes where low level structural information is used as evidence for texture primitives instead of a particular texture. Although low level texture edge features are not robust enough to determine exactly the texture in the scene, they can be used to reason about the scene since they provide evidence about the type of texture present. The structural evidence is combined to determine a measure of belief in the type of texture in the scene. Our overall goal is to use texture as a cue to separate surfaces in a scene. Segmenting textures into homogeneous regions must be based on properties of the texture that are not affected by an oblique projection. Our earlier results using project invariants showed that invariants of low level features cannot reliably discriminate textures. This lead us to an approach to first identify the type of texture element, and then the tesselation of the texture elements. Projective invariants based on the tesselation can then be used to segment the scene. In this paper, the reasoning framework and low level features will be described, along with the results of some experiments using Brodatz textures.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stanley M. Dunn and Karunakar Gulukota "Reasoning With Uncertainty About Textures", Proc. SPIE 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation, (5 January 1989); https://doi.org/10.1117/12.948924
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Probability theory

Image classification

Sensor fusion

Visualization

Image fusion

Classification systems

Edge detection

RELATED CONTENT

Control of perception in dynamic vision
Proceedings of SPIE (April 30 1992)
Multisensor image segmentation algorithms
Proceedings of SPIE (October 01 1990)
Multiresolution range-guided stereo matching
Proceedings of SPIE (April 01 1991)
Multilevel fusion using enhanced feature detection
Proceedings of SPIE (May 25 2005)

Back to Top