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Research article
Volume: 49 | Article ID: art00006
Performance Evaluation of Preprocessing in Color Image Segmentation
  DOI :  10.2352/J.ImagingSci.Technol.2005.49.6.art00006  Published OnlineNovember 2005

In this article we address the problem of performance of preprocessing before color image segmentation. The main goal of preprocessing is noise removal. Our interests are limited to nonlinear color filters working in the spatial domain. Most often comparing such filters is based on calculation of different quality factors (e.g. PSNR, NCD etc.). The main idea of this article is to use an evaluation function, coming from research on segmentation, to evaluate the performance of preprocessing. The experiments were realized using both original and noisy images corrupted by Gaussian and impulsive noise.

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Henryk Palus, "Performance Evaluation of Preprocessing in Color Image Segmentationin Journal of Imaging Science and Technology,  2005,  pp 583 - 587,

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Copyright © Society for Imaging Science and Technology 2005
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