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Albedo estimation for scene segmentation

Abstract

Standard methods of image segmentation do not take into account the three-dimensional nature of the underlying scene. For example, histogram-based segmentation tacitly assumes that the image intensity is piecewise constant, and this is not true when the scene contains curved surfaces. This paper introduces a method of taking 3d information into account in the segmentation process. The image intensities are adjusted to compensate for the effects of estimated surface orientation; the adjusted intensities can be regarded as reflectivity estimates. When histogram-based segmentation is applied to these new values, the image is segmented into parts corresponding to surfaces of constant reflectivity in the scene. 7 references.
Publication Date:
Mar 01, 1983
Product Type:
Journal Article
Reference Number:
EDB-85-161796
Resource Relation:
Journal Name: Patt. Recog. Lett.; (Netherlands); Journal Volume: 3
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; IMAGE PROCESSING; ARTIFICIAL INTELLIGENCE; PATTERN RECOGNITION; PROCESSING; 990200* - Mathematics & Computers
OSTI ID:
5180325
Research Organizations:
Univ. of Maryland, College Park
Country of Origin:
Netherlands
Language:
English
Other Identifying Numbers:
Journal ID: CODEN: PRLED
Submitting Site:
HEDB
Size:
Pages: 155-160
Announcement Date:

Citation Formats

Lee, C H, and Rosenfeld, A. Albedo estimation for scene segmentation. Netherlands: N. p., 1983. Web. doi:10.1016/0167-8655(83)90056-9.
Lee, C H, & Rosenfeld, A. Albedo estimation for scene segmentation. Netherlands. doi:10.1016/0167-8655(83)90056-9.
Lee, C H, and Rosenfeld, A. 1983. "Albedo estimation for scene segmentation." Netherlands. doi:10.1016/0167-8655(83)90056-9. https://www.osti.gov/servlets/purl/10.1016/0167-8655(83)90056-9.
@misc{etde_5180325,
title = {Albedo estimation for scene segmentation}
author = {Lee, C H, and Rosenfeld, A}
abstractNote = {Standard methods of image segmentation do not take into account the three-dimensional nature of the underlying scene. For example, histogram-based segmentation tacitly assumes that the image intensity is piecewise constant, and this is not true when the scene contains curved surfaces. This paper introduces a method of taking 3d information into account in the segmentation process. The image intensities are adjusted to compensate for the effects of estimated surface orientation; the adjusted intensities can be regarded as reflectivity estimates. When histogram-based segmentation is applied to these new values, the image is segmented into parts corresponding to surfaces of constant reflectivity in the scene. 7 references.}
doi = {10.1016/0167-8655(83)90056-9}
journal = {Patt. Recog. Lett.; (Netherlands)}
volume = {3}
journal type = {AC}
place = {Netherlands}
year = {1983}
month = {Mar}
}