Paper
24 August 2001 Color image segmentation using optical models
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Abstract
In this paper we present an overview of various strategies for image segmentation, showing their advantages and drawbacks. The overview covers most of the methods from the classical statistical methods to model-based techniques, with a focus on color images. The paper concludes with a summary of our approach to identifying interreflection.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dariusz Litwin, Tardi Tjahjadi, and Yee-Hong Yang "Color image segmentation using optical models", Proc. SPIE 4535, Optical Sensing for Public Safety, Health, and Security, (24 August 2001); https://doi.org/10.1117/12.438436
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KEYWORDS
Image segmentation

Image processing

RGB color model

Image processing algorithms and systems

Reflection

Color image segmentation

Software development

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