Color scene analysis

Mehmet Celenk

doi:10.1117/12.172692

1 May 1994 Color scene analysis

Mehmet Celenk

Proceedings Volume 2179, Human Vision, Visual Processing, and Digital Display V; (1994) https://doi.org/10.1117/12.172692
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

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.

Citation Download Citation

Mehmet Celenk "Color scene analysis", Proc. SPIE 2179, Human Vision, Visual Processing, and Digital Display V, (1 May 1994); https://doi.org/10.1117/12.172692

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