NDLI: An interactive algorithm for image denoising and segmentation

Content Provider	IEEE Xplore Digital Library
Author	De Andrade, M.C. Vemuri, B.C.
Copyright Year	2001
Description	Author affiliation: Centro de Desenvolvimento da Tecnologia Nucl., Belo Horizonte, Brazil (De Andrade, M.C.)
Abstract	The paper presents an interactive algorithm for image denoising and segmentation. A global competition criterion is used to impose an order of processing on all image pixels. The smoothing step employs an evolution equation controlled by the local curvature to denoise the image while preserving the features. The interactive segmentation step requires the user to select one definitive seed per region. Region growing is initiated around provisory seeds, which are automatically detected, labeled and eventually merged by the algorithm. A simple merging mechanism is used to handle the topological transformations required to remove the image over-segmentation. It is shown that accurate and fast segmentation results can be achieved for gray and color images using this simple method. Extension to 3D images is straightforward and easily handled.
Sponsorship	Brazilian Comput. Soc.(SBC)
Starting Page	274
Ending Page	281
File Size	1969707
Page Count	8
File Format	PDF
ISBN	0769513301
DOI	10.1109/SIBGRAPI.2001.963066
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-10-15
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image denoising Image segmentation Convergence Shape measurement Shape control Active contours Pixel Smoothing methods Equations Automatic control
Content Type	Text
Resource Type	Article

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