A multiresolution approach to binary tree representations of images

A multiresolution method for constructing a BSP (binary space partitioning) tree is introduced. This approach derives a hierarchy (pyramid) of scale-space images from the original image. In this hierarchy, a BSP tree of an image is built from other trees representing low-resolution images of the pyramid. A low-resolution image BSP tree serves as an initial guess to construct a higher-resolution image tree. Due to filtering when constructing the pyramid, details are discarded. As a result, a more robust segmentation is obtained. Moreover a significant computational advantage is achieved