Abstract

The use of a diffuser in synthesizing binary texture-variance masks for applications in image processing is investigated. The binary texture-variance masks are used to separate various objects in an image on the basis of their spatial texture variance. The diffuser is required to reduce the speckling present in the mask. The reduction in speckling is described quantitatively as a reduction of the misclassification probability associated with the separation of the objects into several texture classes. General results are furnished for the statistics of the field scattered by the diffuser, and these are used to obtain expressions for the misclassification probabilities in the presence of a diffuser. Some applications are furnished.

© 1974 Optical Society of America

Variance Measurements by a Coherent Optical Method, with Application to Image Processing

E. Garcia, H. Stark, and R. C. Barker
Appl. Opt. 11(7) 1480-1490 (1972)

Image Analysis Using Enhanced Spatial Correlation Functions

H. Stark and E. Garcia
Appl. Opt. 13(8) 1828-1832 (1974)

Image formation of partially coherent diffuse object

Yoshiki Ichioka
J. Opt. Soc. Am. 64(7) 919-927 (1974)

Some New Techniques for Processing Remotely Obtained Images by Self-Generated Spectral Masks

H. Stark, R. C. Barker, and D. Lee
Appl. Opt. 11(11) 2540-2550 (1972)

Gamma-Ray Imaging with Stochastic Apertures

Randall S. May, Ziya Akcasu, and Glenn F. Knoll
Appl. Opt. 13(11) 2589-2601 (1974)