We introduce the Anisotropic Diffusion Pyramid (ADP), a structure for multiresolution image processing. We also develop the ADP for use in region-based segmentation. The pyramid is constructed using the anisotropic diffusion equations, creating an efficient scale-space representation. Segmentation is accomplished using pyramid node linking. Since anisotropic diffusion preserves edge localization as the scale is increased, the region boundaries in the coarse-to-fine ADP segmentation are accurately delineated. An application to segmentation of remotely sensed data is provided. The results of ADP segmentation are compared to Gaussian-based pyramidal segmentation. The examples show that the ADP has a superior ability to subdivide the image into integral groupings, minimizing the error in boundary localization and in pixel intensity.<>
Anisotropic diffusion pyramids for image segmentation
Proceedings of 1st International Conference on Image Processing ; 3 ; 478-482 vol.3
1994-01-01
446263 byte
Conference paper
Electronic Resource
English
Anisotropic Diffusion Pyramids for Image Segmentation
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