Scene partitioning via statistic-based region growing

Joseph W. Weber

doi:10.1117/12.205476

23 March 1995 Scene partitioning via statistic-based region growing

Joseph W. Weber

Proceedings Volume 2421, Image and Video Processing III; (1995) https://doi.org/10.1117/12.205476
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

The scene partitioning problem is to delineate regions in an image that correspond to the same object according to some underlying object model. Examples include partitioning an intensity image into piecewise constant intensities or identifying separate planar regions in a disparity map. A fast, general algorithm for solving the partitioning problem in cases of linear models and multiband images is presented. The algorithm uses a statistical test in a region growing formalism. The algorithm relies on the assumption that the correct image partition is connected in image coordinates. Experiments are performed on a series of models with a range of state dimensions.

Citation Download Citation

Joseph W. Weber "Scene partitioning via statistic-based region growing", Proc. SPIE 2421, Image and Video Processing III, (23 March 1995); https://doi.org/10.1117/12.205476

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