Paper
27 March 1995 Binary texture estimation using linear samples
Author Affiliations +
Proceedings Volume 2423, Machine Vision Applications in Industrial Inspection III; (1995) https://doi.org/10.1117/12.205512
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States
Abstract
Parametric estimation is achieved for the discrete 2D Boolean model by applying maximum- likelihood estimation on linear samples. Under certain conditions, a 2D Boolean model induces a 1D Boolean model so that the likelihood function of a 1D observation is expressed in terms of the parameters of the 2D inducing model, thereby enabling maximum-likelihood estimation to be performed on the 2D model using linear samples.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John C. Handley and Edward R. Dougherty "Binary texture estimation using linear samples", Proc. SPIE 2423, Machine Vision Applications in Industrial Inspection III, (27 March 1995); https://doi.org/10.1117/12.205512
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Statistical modeling

Statistical analysis

Particles

Binary data

Image processing

Image analysis

Radon

Back to Top