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Proceedings Paper

Color scene analysis
Author(s): Mehmet Celenk
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Paper Abstract

This paper describes a color scene analysis method for the object surfaces appearing in the noisy and imperfect images of natural scenes. It is developed based on the spatial and spectral grouping property of the human visual system. The uniformly colored surfaces are recognized by their monomodal 3-D color distributions and extracted in the spatial domain using the lightness and chromaticity network of the Munsell system. The textured image regions are identified by their irregular histogram distributions and isolated in the image plane using the Julesz connectivity detection rules. The method is applied to various color images corrupted by noise and degraded heavily by under-sampling and low color-contrast imperfections. The method was able to detect all the uniformly colored and heavily textured object areas in these images.

Paper Details

Date Published: 1 May 1994
PDF: 11 pages
Proc. SPIE 2179, Human Vision, Visual Processing, and Digital Display V, (1 May 1994); doi: 10.1117/12.172692
Show Author Affiliations
Mehmet Celenk, Ohio Univ. (United States)


Published in SPIE Proceedings Vol. 2179:
Human Vision, Visual Processing, and Digital Display V
Bernice E. Rogowitz; Jan P. Allebach, Editor(s)

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