Image segmentation by optimal and hierarchical piecewise constant approximations
M.Kharinov
TL;DR
This paper introduces a hierarchical approach for piecewise constant image segmentation, optimizing the approximation sequence and extending the method to multidimensional color and multispectral images.
Contribution
It proposes a hierarchical approximation method that majorizes optimal image segmentation sequences and generalizes to multidimensional color and multispectral images.
Findings
Hierarchical segmentation approximates optimal sequences effectively.
Method extends to multidimensional color and multispectral images.
Potential for improved segmentation accuracy in complex images.
Abstract
Piecewise constant image approximations of sequential number of segments or clusters of disconnected pixels are treated. The method of majorizing of optimal approximation sequence by hierarchical sequence of image approximations is proposed. A generalization for multidimensional case of color and multispectral images is foreseen.
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Taxonomy
TopicsMedical Image Segmentation Techniques · Image and Object Detection Techniques · Image Retrieval and Classification Techniques