Symmetrical segmentation-based image coding

Christina Saraceno; Riccardo Leonardi

doi:10.1117/12.157956

22 October 1993 Symmetrical segmentation-based image coding

Christina Saraceno, Riccardo Leonardi

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157956
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

An image coding technique based on symmetry extraction and Binary Space Partitioning (BSP) tree representation for still pictures is presented. Axes of symmetry, detected through a principal axis of inertia approach and a coefficient of symmetry measure, are used to divide recursively an input image into a finite number of convex regions. This recursive partitioning results in the BSP tree representation of the image data. The iterative partition occurs whenever the current left/right node of the tree cannot be represented `symmetrically' by its counterpart, i.e., the right/left node. This splitting process may also end whenever the region associated with a given node has homogeneous characteristics or its size falls below a certain threshold. Given a BSP tree partition for a given input image, and the `seed' leaf nodes (i.e., those that cannot be generated by mirroring their counterparts), the remaining leaf nodes of the tree are reconstructed using a predictive scheme with respect to the `seed' leaf nodes.

Citation Download Citation

Christina Saraceno and Riccardo Leonardi "Symmetrical segmentation-based image coding", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157956

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KEYWORDS

Image segmentation

Image compression

Binary data

Acquisition tracking and pointing

Information visualization

Image filtering

Image processing

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