CVJun 10, 2013
Image segmentation by optimal and hierarchical piecewise constant approximations
arXiv:1306.2159v12 citations
AI Analysis
This work addresses image segmentation for computer vision applications, but appears incremental as it builds on existing piecewise constant approximation methods.
The paper tackles the problem of image segmentation by proposing a method for piecewise constant approximations using optimal and hierarchical sequences, and generalizes it to multidimensional color and multispectral images.
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.