A robust automatic clustering scheme for image segmentation using wavelets

RMS Porter, CN Canagarajah

Research output: Contribution to journalArticle (Academic Journal)peer-review

102 Citations (Scopus)
343 Downloads (Pure)


The optimal features with which to discriminate between regions and, thus, segment an image often differ depending on the nature of the image. Many real images are made up of both smooth and textured regions and are best segmented using different features in different areas. A scheme that automatically selects the optimal features for each pixel using wavelet analysis is proposed, leading to a robust segmentation algorithm. An automatic method for determining the optimal number of regions for segmentation is also developed.
Translated title of the contributionA robust automatic clustering scheme for image segmentation using wavelets
Original languageEnglish
Pages (from-to)662 - 665
JournalIEEE Transactions on Image Processing
Issue number4
Publication statusPublished - Apr 1996

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Terms of use: Copyright © 1996 IEEE. Reprinted from IEEE Transactions on Image Processing.

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Publisher: Institute of Electrical and Electronics Engineers (IEEE)


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