Image Smoothing and Segmentation by Multiresolution Pixel Linking: Further Experiments and Extensions

Tsai Hong Hong, K. A. Narayanan, Shmuel Peleg, Azriel Rosenfeld, Teresa Silberberg

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

A recently developed method of image smoothing and segmentation makes use of a “pyramid” of images at successively lower resolutions. It establishes links between pixels at successive levels of the pyramid; the subtrees of the pyramid defined by these links yield a segmentation of the image into regions over which the smoothing takes place. This paper investigates several variations on the basic linking process with regard to such factors as initialization, criteria for linking, and iteration scheme used. It also studies generalizations in which the links are weighted rather than forced, and in which interactions among the pixels at a given level are also allowed. Finally, it extends the approach to links based on more than one feature of a pixel, e.g., on color components or local property values.

Original languageEnglish
Pages (from-to)611-622
Number of pages12
JournalIEEE Transactions on Systems, Man and Cybernetics
Volume12
Issue number5
DOIs
StatePublished - Oct 1982
Externally publishedYes

Fingerprint

Dive into the research topics of 'Image Smoothing and Segmentation by Multiresolution Pixel Linking: Further Experiments and Extensions'. Together they form a unique fingerprint.

Cite this