Abstract
This Paper Introduces a Statistical Image Model based on Occlusion and Maximum Entropy. the Statistical Model Combines a Fundamental Property of Image Formation, Occlusion, with Both Object-Image Shape and Nonuniform Object-Image Intensity. the Model is a Composition of Individual Object-Images that Have Random Positions, Shapes, and Intensities, and that Occlude Both Background and One Another. We Derive the Autocorrelation and Second-Order Probability Density Functions of This Model and Give Several Examples. © 1998 IEEE.
Recommended Citation
J. A. Stuller and R. Shah, "An Image Model based on Occluding Object Images and Maximum Entropy," IEEE Transactions on Image Processing, vol. 7, no. 9, pp. 1300 - 1310, Institute of Electrical and Electronics Engineers, Dec 1998.
The definitive version is available at https://doi.org/10.1109/83.709662
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Image autocorrelation; Image model; Occlusion
International Standard Serial Number (ISSN)
1057-7149
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Dec 1998
Comments
National Science Foundation, Grant MIP-9223020